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The debate about man vs robots is an evergreen and common thing now. While robots are viewed as an enabler of a dystopian future brought by digital disruption, the main question that has baffled minds is how smart are they. When it comes to human intelligence, there isn’t any other living being or ‘mechanical or AI mind’ that can draw parallel with us. Yet, robots powered by AI have been able to perform trivial, monotonous tasks with accuracy far better than us. It is important to note that this does not imply robots have acquired cognitive intelligence nor common sense which are intrinsic to humans, despite de facto of the recent marvels of robotics.
The main problem is that most of the algorithms that are written for robots are based on machine learning coding. These codes are collected from a particular type of data, and models are trained based on individual test conditions. Hence, when put in a situation that is not in their code nor algorithm, robots can fail terribly or draw a conclusion that can be catastrophic. This has highlighted in Stanley Kubrick’s landmark film 2001: A Space Odyssey. The movie features a supercomputer, HAL-9000, who is informed by its creators of the purpose of the mission: to reach Jupiter and search for signs of extra-terrestrial intelligence. When HAL makes an error, it refuses to admit this and alleges that it was caused due to human error. Therefore, astronauts decide to shut HAL down, but unfortunately, the AI discovers their plot by lip-reading. Conclusively, HAL arrives at a new conclusion that wasn’t part of its original programming, deciding to save itself by systematically killing off the people onboard.
Another illustration which experts often mention it that, while we can teach a robot on how to open a door by training it and feeding data on 500 different types of door, the robots will still fail when asked to open the 501st door. Also, this example is the best way to explain why robots don’t share the typical thought process and intelligence of humans. Humans don’t need to be ‘trained’ they observe and learn, or they experiment thanks to curiosity. Further, every time someone knocks the door, we don’t tend to open it, there is always an unfriendly neighbor we dislike. Again we don’t need to be reminded to lock the door either, but robots need a clear set of instruction. Let us consider other aspects of our life, robots and AI are trained on a particular set of data; hence they will function effectively when the input is something they have been trained or programmed for, beyond it the observation is different. For instance, if one uses the expression “Hit the road” while driving a car, she means to say to herself or the driver to begin the journey emphatically. If a robot does not know the phrasal meaning of the same expression, it may believe that the person is asking to ‘hit’ the road. This misunderstanding can lead to accidents. While researchers are working hard, devising algorithms, running codes, we are yet to see a robot that understands the way humans converse, all with accents, dialects, colloquy and jargons.
Michio Kaku, a futurist and theoretical physicist, once said that “Our robots today, have the collective intelligence and wisdom of a cockroach.” While robots of today can make salads on our command, or robots like Deep Blue or AlphaGo Zero can defeat humans in chess, it does not necessarily qualify as ‘common sense’ nor smartness. And let us not forget that Deep Blue and AlphaGo Zero were following instructions given by a team of ‘smart’ human scientists. These robots were designed by people who were smart enough to solve a seemingly impossible task. So to sum up, while robots are becoming smarter that, they are now able to fold laundry, impersonate as a person looking for dating online, they still lag when it comes to cognitive intelligence and common sense. It is a long wait till we find a robot we see in sci-fi movies, i.e. C3P0, R2D2 or WALL-E.


The journal Perception published new insights into the cognitive mechanisms underlying this phenomenon made by psychologists at Emory University.
Since the uncanny valley was first described, a common hypothesis developed to explain it. Known as the mind-perception theory, it proposes that when people see a robot with human-like features, they automatically add a mind to it. A growing sense that a machine appears to have a mind leads to the creepy feeling, according to this theory.
"We found that the opposite is true," says Wang Shensheng, first author of the new study, who did the work as a graduate student at Emory and recently received his Ph.D. in psychology. "It's not the first step of attributing a mind to an android but the next step of 'dehumanizing' it by subtracting the idea of it having a mind that leads to the uncanny valley. Instead of just a one-shot process, it's a dynamic one."
The findings have implications for both the design of robots and for understanding how we perceive one another as humans.
"Robots are increasingly entering the social domain for everything from education to healthcare," Wang says. "How we perceive them and relate to them is important both from the standpoint of engineers and psychologists."
"At the core of this research is the question of what we perceive when we look at a face," adds Philippe Rochat, Emory professor of psychology and senior author of the study. "It's probably one of the most important questions in psychology. The ability to perceive the minds of others is the foundation of human relationships. "
The research may help in unraveling the mechanisms involved in mind-blindness—the inability to distinguish between humans and machines—such as in cases of extreme autism or some psychotic disorders, Rochat says.
Co-authors of the study include Yuk Fai Cheong and Daniel Dilks, both associate professors of psychology at Emory.
Anthropomorphizing, or projecting human qualities onto objects, is common. "We often see faces in a cloud for instance," Wang says. "We also sometimes anthropomorphize machines that we're trying to understand, like our cars or a computer."
Naming one's car or imagining that a cloud is an animated being, however, is not normally associated with an uncanny feeling, Wang notes. That led him to hypothesize that something other than just anthropomorphizing may occur when viewing an android.
To tease apart the potential roles of mind-perception and dehumanization in the uncanny valley phenomenon the researchers conducted experiments focused on the temporal dynamics of the process. Participants were shown three types of images—human faces, mechanical-looking robot faces and android faces that closely resembled humans—and asked to rate each for perceived animacy or "aliveness." The exposure times of the images were systematically manipulated, within milliseconds, as the participants rated their animacy.
The results showed that perceived animacy decreased significantly as a function of exposure time for android faces but not for mechanical-looking robot or human faces. And in android faces, the perceived animacy drops at between 100 and 500 milliseconds of viewing time. That timing is consistent with previous research showing that people begin to distinguish between human and artificial faces around 400 milliseconds after stimulus onset.
A second set of experiments manipulated both the exposure time and the amount of detail in the images, ranging from a minimal sketch of the features to a fully blurred image. The results showed that removing details from the images of the android faces decreased the perceived animacy along with the perceived uncanniness.
"The whole process is complicated but it happens within the blink of an eye," Wang says. "Our results suggest that at first sight we anthropomorphize an android, but within milliseconds we detect deviations and dehumanize it. And that drop in perceived animacy likely contributes to the uncanny feeling."


How do you calculate the coordinated movements of two robot arms so they can accurately guide a highly flexible tool? ETH researchers have integrated all aspects of the optimisation calculations into an algorithm. A hot-wire cutter will be used, among other things, to develop building blocks for a mortar-free structure.
A newborn moves its arms and hands largely in an undirected and random manner. It has to learn how to coordinate them step by step. Years of practice are required to master the finely balanced movements of a violinist or calligrapher. It is therefore no surprise that the advanced calculations for the optimal movement of two robot arms to guide a tool precisely involve extremely challenging optimisation tasks. The complexity also increases greatly when the tool itself is not rigid, but flexible in all directions and bends differently depending on its position and movement.
Simon Dünser from Stelian Coros' research group at the Institute for Intelligent Interactive Systems has worked with other researchers to develop a hot-wire cutter robot with a wire that bends flexibly as it works. This allows it to create much more complex shapes in significantly fewer cuts than previous systems, where the electrically heatable wire is rigid and is thus only able to cut ruled surfaces from fusible plastics with a straight line at every point.
Carving rabbits and designing façades
In contrast, the RoboCut from the ETH computer scientists is not limited to planes, cylinders, cones or saddle surfaces, but is also able to create grooves in a plastic block. The biggest advantage, however, is that the targeted bending of the wire means far fewer cuts are necessary than if the target shape had to be approximated using ruled surfaces. As a result, the bendable wire can be used to create the figure of a sitting rabbit from a polystyrene block through just ten cuts with wood carving-like accuracy. The outline of the rabbit becomes clearly recognizable after just two cuts.
In addition to the fundamental improvement on traditional hot-wire methods, the RoboCut project also has other specific application goals in mind. For example, in future the technology could be used in architecture to produce individual polystyrene molds for concrete parts. This would enable a more varied design of façades and the development of new types of modular building systems.
Three linked optimisations simultaneously
For Dünser, the scientific challenges were the focus of the project. "The complex optimisation calculations are what make RoboCut special. These are needed to find the most efficient tool paths possible while melting the desired shape from the polystyrene block as precisely as possible," explains the scientist.
In order to move the wire in a controlled manner, it was attached to a two-armed Yumi robot from ABB. First, the reaction of the wire to the movements of the robot arms had to be calculated. Positions that would lead to unstable wire placement or where there was a risk of wire breakage were determined by means of simulations and then eliminated.
ETH researchers were then able to develop the actual optimisation on this basis. This had to take into account three linked aspects simultaneously. On the physical level, it was important to predict the controlled bending and movement of the wire in order to carry out the desired cuts. In terms of the shape, a cutting sequence had to be determined that would effect a highly precise approximation of the surface to the target shape in as few steps as possible. Finally, collisions with robot parts or its environment and unintentional cuts had to be ruled out.
Preventing bad minima
Dünser is one of the first scientists to succeed in integrating all the parameters in this complex task into a global optimisation algorithm. To do this, he designed a structured methodology based on the primary objective that the wire should always cut as close as possible to the surface of the target object. All other restrictions were then assigned costs and these were optimized as a total.
Without further devices, however, such calculations always fall into local minima, which lead to a pointless end result. To prevent this, in a first step Dünser ironed out the cost function, so to speak, and began the calculation with a cut that was initially only roughly adapted to the target shape. The cutting simulation was then gradually brought closer towards the target shape until the desired accuracy was achieved.
Method with versatile potential
The method developed by Dünser is not just limited to hot-wire cutting. The design of tool paths for other cutting and milling technologies could also benefit from it in the future. The method creates a much greater degree of scope for simulation, particularly in the generation of complex non-rotationally symmetrical shapes.
Electrical discharge machining with wires could benefit directly from this, as this technology enables high-precision cutting of electrically conductive materials via spark ablation. In the future, this could involve bendable electrode wires. This means that—as with the hot-wire cutting of plastics—more complicated and thus more efficient cuts can be made more easily than with today's rigid wires.
One specific application for RoboCut is being planned jointly with a research group from EPF Lausanne. With the help of a large-scale version of the hot-wire cutting robot, systematic building blocks for building structures free of mortar and fastening technologies will be developed. The elements themselves must hold together in a stable manner. In the future, the robot should also be used to cut the polystyrene molds with which the various bricks are cast in concrete. The clever plastic cutter thus also creates the concrete construction technology of tomorrow.


Electronic skins that perform the same sensory functions as human skin could mean big things for the fields of robotics and medical devices, and scientists are not solely focused on just the pleasant ones. Researchers in Australia have succeeded in developing an artificial skin that responds to painful stimuli in the same way real skin does, which they see as an important step towards intelligent machines and prosthetics.
It mightn’t seem like the most practical of goals, but researchers have been working to develop electronic skins that allow robots and prostheses to feel pain for quite some time. These technologies could enable amputees to know if they are picking up something sharp or dangerous, for example, or could make robots more durable and safer for humans to be around.
The researchers behind the latest breakthrough, from Australia’s Royal Melbourne Institute of Technology, believe they have created a first of-a-kind device that can replicate the feedback loop of painful stimuli in unprecedented detail. Just as nerve signals travel to the brain at warp speed to inform it that we've encountered something sharp or hot, the new artificial skin does so with great efficiency, and with an ability to distinguish between less and more severe forms of pain.
“We’ve essentially created the first electronic somatosensors – replicating the key features of the body’s complex system of neurons, neural pathways and receptors that drive our perception of sensory stimuli,” says PhD researcher Md Ataur Rahman. “While some existing technologies have used electrical signals to mimic different levels of pain, these new devices can react to real mechanical pressure, temperature and pain, and deliver the right electronic response. It means our artificial skin knows the difference between gently touching a pin with your finger or accidentally stabbing yourself with it – a critical distinction that has never been achieved before electronically.”

The artificial skin actually incorporates three separate sensing technologies the team has been working on. It consists of a stretchable electronic material made of biocompatible silicone that is as thin as a sticker, temperature-reactive coatings that transform in response to heat, and electronic memory cells designed to mimic the way the brain stores information.
“We’re sensing things all the time through the skin but our pain response only kicks in at a certain point, like when we touch something too hot or too sharp,” says lead researcher Professor Madhu Bhaskaran. “No electronic technologies have been able to realistically mimic that very human feeling of pain – until now. Our artificial skin reacts instantly when pressure, heat or cold reach a painful threshold. It’s a critical step forward in the future development of the sophisticated feedback systems that we need to deliver truly smart prosthetics and intelligent robotics.”
With further work, the team imagines the electronic skin could one day also be used as an option for non-invasive skin grafts.


Humanoid robots, those with bodies that resemble humans, could soon help people to complete a wide variety of tasks. Many of the tasks that these robots are designed to complete involve picking up objects of different shapes, weights and sizes.
While many humanoid robots developed up to date are capable of picking up small and light objects, lifting bulky or heavy objects has often proved to be more challenging. In fact, if an object is too large or heavy, a robot might end up breaking or dropping it.
With this in mind, researchers at Johns Hopkins University and National University of Singapore (NUS) recently developed a technique that allows robots to determine whether or not they will be able to lift a heavy box with unknown physical properties. This technique, presented in a paper pre-published on arXiv, could enable the development of robots that can lift objects more efficiently, reducing the risk that they will pick up things that they cannot support or carry.
"We were particularly interested in how a humanoid robot can reason about the feasibility of lifting a box with unknown physical parameters," Yuanfeng Han, one of the researchers who carried out the study, told TechXplore."To achieve such a complex task, the robot usually needs to first identify the physical parameters of the box, then generate a whole body motion trajectory that is safe and stable to lift up the box."
The process through which a robot generates motion trajectories that allow it to lift objects can be computationally demanding. In fact, humanoid robots typically have a high amount of degrees of freedom and the motion that their body needs to make to lift an object should meet several different constraints. This means that if a box is too heavy or its center of mass is too far away from the robot, the robot will most likely be unable to complete this motion.
"Think about us humans, when we try to reason about whether we can lift up a heavy object, such as a dumbbell," Han explained. "We first interact with the dumbbell to get a certain feeling of the object. Then, based on our previous experience, we kind of know if it is too heavy for us to lift or not. Similarly, our method starts by constructing a trajectory table, which saves different valid lifting motions for the robot corresponding to a range of physical parameters of the box using simulations. Then the robot considers this table as the knowledge of its previous experience."
The technique developed by Han, in collaboration with his colleague Ruixin Li and his supervisor Gregory S. Chirikjian (Professor and Head of the Department of Mechanical Engineering at NUS) allows a robot to get a sense of the inertia parameters of a box after briefly interacting with it. Subsequently, the robot looks back at the trajectory table generated by the method and checks whether it includes a lifting motion that would allow it to lift a box with these estimated parameters.
If this motion or trajectory exists, then lifting the box is considered to be feasible and the robot can immediately complete the task. If it does not exist, then the robot considers the task beyond its capacity.
"Essentially, the trajectory table that our method constructs offline saves the valid whole-body lifting motion trajectories according to a box's range of inertia parameters," Han said. "Subsequently, we developed a physical-interaction based algorithm that helps the robot interact with the box safely and estimate the inertia parameters of the box."
The new technique allows robots to rapidly determine whether they are able to complete a lifting-related task. It thus saves time and computational power, as it prevents robots from having to generate whole-body motions before every lifting attempt, even unsuccessful ones.
Han and his colleagues evaluated the approach they developed in a series of tests using NAO, a renowned humanoid robot developed by SoftBank Robotics. In these trials, NEO quickly and effectively identified objects that were impossible or very difficult to lift via the new technique. In the future, the same technique could be applied to other humanoid robots to make them more reliable and efficient in completing tasks that involve lifting large or heavy objects.
"Our method can significantly increase the working efficiency for practical pick-and-place tasks, especially for repeatable tasks," Han said. "In our future work, we plan to apply our approach to different objects or lifting tasks."

Artificial intelligence (AI) is developing quickly as an unbelievably amazing innovation with apparently limitless application. It has shown its capacity to automate routine tasks, for example, our everyday drive, while likewise augmenting human capacity with new insight. Consolidating human imagination and creativity with the adaptability of machine learning is propelling our insight base and comprehension at a remarkable pace.
However, with extraordinary power comes great responsibility. In particular, AI raises worries on numerous fronts because of its possibly disruptive effect. These apprehensions incorporate workforce uprooting, loss of protection, potential biases in decision-making and lack of control over automated systems and robots. While these issues are noteworthy, they are likewise addressable with the correct planning, oversight, and governance.
Numerous artificial intelligence systems that will come into contact with people should see how people behave and what they need. This will make them more valuable and furthermore more secure to utilize. There are at least two manners by which understanding people can benefit intelligent systems. To start with, the intelligent system must gather what an individual needs. For a long time to come, we will design AI frameworks that get their directions and objectives from people. However, people don’t always state precisely what they mean. Misunderstanding a person’s intent can result in perceived failure. Second, going past just failing to comprehend human speech or written language, consider the fact that entirely perceived directions can result in disappointment if part of the guidelines or objectives are implicit or understood.
Human-centered AI is likewise in acknowledgment of the fact that people can be similarly inscrutable to intelligent systems. When we consider intelligent frameworks understanding people, we generally consider normal language and speech processing whether an intelligent system can react suitably to utterances. Natural language processing, speech processing, and activity recognition are significant challenges in building helpful, intelligent systems. To be really effective, AI and ML systems need a theory of mind about humans.
Responsible AI research is a rising field that advocates for better practices and techniques in deploying machine learning models. The objective is to build trust while at the same time limiting potential risks not exclusively to the organizations deploying these models, yet additionally the users they serve.
Responsible AI is a structure for bringing a large number of these basic practices together. It centers around guaranteeing the ethical, transparent and accountable use of AI technologies in a way predictable with user expectations, authoritative qualities and cultural laws and standards. Responsible AI can guard against the utilization of one-sided information or algorithms, guarantee that automated decisions are advocated and reasonable, and help keep up user trust and individual privacy. By giving clear rules of engagement, responsible AI permits companies under public and congressional scrutiny to improve and understand the groundbreaking capability of AI that is both convincing and responsible.
Human-centric machine learning is one of the more significant concepts in the business to date. Leading organizations, for example, Stanford and MIT are setting up labs explicitly to encourage this science. MIT defines this concept as “the design, development and deployment of information systems that learn from and collaborate with humans in a deep, significant way.”
The future of work is frequently depicted as being dominated by a robotic apparatus and a large number of algorithms claiming to be people. However, actually AI adoption has been to a great extent planned for making processes more effective, upgrading products and services and making new products and services as per Deloitte’s recent study of corporate executives, who evaluated decreasing headcount as their least significant objective.
It is inconsequential to set up common sense failures in robotics and autonomous operators. For example, a robot goes to a drug store and gets a professionally prescribed medication. Since the human is sick, the individual might want the robot to return as fast as possible. If the robot goes directly to the drug store, goes behind the counter, gets the medication, and gets back, it will have succeeded and minimized execution time and money. We would likewise say it looted the drug store since it didn’t take an interest in the social construct of exchanging money for the product.
Commonsense knowledge, the procedural form of which can go about as a reason for the theory of mind for when interacting with humans, can make human collaboration more natural. Despite the fact that ML and AI decision-making algorithms work uniquely from human decision-making, the behavior of the framework is subsequently more conspicuous to individuals. It likewise makes interaction with individuals more secure: it can decrease common sense goal failures in light of the fact that the operator fills in an under-determined objective with commonsense procedural details; and a specialist that demonstrations as per a person’s expectations will inherently avoid conflict with an individual who is applying their theory of mind of human behavior to intelligent agents.
Artificial intelligence in radiology, for instance, can rapidly draw attention to discoveries as well as highlight the significantly more unpretentious areas that probably won’t be readily caught by the human eye. Responsible AI human-centricity becomes an integral factor when doctors and patients, not machines, settle on an ultimate decision on treatment. All things considered, augmenting medical professionals with deep quantitative insight furnishes them with priceless data to factor into the decision.
By keeping humans tuned in, organizations can all the more likely decide the degree of automation and augmentation they need and control a definitive impact of AI on their workforce. Therefore, companies can hugely mitigate their risk and build up a more profound comprehension of what kinds of circumstances might be the most challenging for their AI deployments and machine learning applications.

How Is Artificial Intelligence Used in Analytics?

Analytics powers your marketing program, but how much value are you really getting out of your data?
Artificial intelligence can help.
AI is a collection of technologies that excel at extracting insights and patterns from large sets of data, then making predictions based on that information.
That includes your analytics data from places like Google Analytics, automation platforms, content management systems, CRMs, and more.
In fact, AI exists today that can help you get much more value out of the data you already have, unify that data, and actually make predictions about customer behaviors based on it.
That sounds great. But how do you actually get started?
This article is here to help you take your first step.
At Marketing AI Institute, we’ve spent years researching and applying AI. Since 2016, we've published more than 400 articles on the subject. And we've published stories on 50+ AI-powered vendors with more than $1 billion in total funding. We’re also tracking 1,500+ sales and marketing AI companies with combined funding north of $6.2 billion.
This article leans on that expertise to demystify AI.
And, it'll give you ideas on how to use AI for analytics and offer some tools to explore further.
What Is Artificial Intelligence?Ask 10 different experts what AI is, and you'll get 10 different answers. A good definition comes from Demis Hassabis, CEO of DeepMind, an AI company that Google bought.
Hassabis calls AI the "science of making machines smart." Today, we can teach machines to be like humans. We can give them the ability to see, hear, speak, write, and move.
Your smartphone has tons of AI-powered capabilities. These include facial recognition that unlocks your phone with your face (AI that sees). They also include voice assistants (AI that hears and speaks). And, don't forget, predictive text (AI that writes).
Other types of AI systems even give machines the ability to move, like you see in self-driving cars.
Your favorite services, like Amazon and Netflix, use AI to offer product recommendations.
And email clients like Gmail even use AI to automatically write parts of emails for you.
In fact, you probably use AI every day, no matter where you work or what you do.
"Machine learning" powers AI's most impressive capabilities. Machine learning is a type of AI that identifies patterns based on large sets of data. The machine uses these patterns to make predictions. Then, it uses more and more data to improve those predictions over time.
The result?
Technology powered by machine learning gets better over time, often without human involvement.
This is very different from traditional software.
A typical non-AI system, like your accounting software, relies on human inputs to work. The system is hard-coded with rules by people. Then, it follows those rules exactly to help you do your taxes. The system only improves if human programmers improve it.
But machine learning tools can improve on their own. This improvement comes from a machine assessing its own performance and new data.
For instance, an AI tool exists that writes email subject lines for you. Humans train the tool's machine learning using samples of a company's marketing copy. But then the tool drafts its own email subject lines. Split-testing occurs, then the machine learns on its own what to improve based on the results. Over time, the machine gets better and better with little human involvement. This unlocks possibly unlimited performance potential.
Now, imagine this power applied to any piece of marketing technology that uses data. AI can actually make everything, from ads to analytics to content, more intelligent.
How Is AI Used in Analytics?Here are just a few of the top use cases we’ve found for artificial intelligence in analytics today.
1. Find new insights from your analytics.Artificial intelligence excels at finding insights and patterns in large datasets that humans just can't see. It also does this at scale and at speed.
Today, AI-powered tools exist that will answer questions you ask about your website data. (Think "Which channel had the highest conversion rate?") AI can also recommend actions based on opportunities its seeing in your analytics.
Some tools to check out here include:
Google Analytics' Analytics IntelligenceKeyenceAdobe Analytics2. Use analytics to predict outcomes.AI systems exist that use analytics data to help you predict outcomes and successful courses of action.
AI-powered systems can analyze data from hundreds of sources and offer predictions about what works and what doesn't. It can also can deep dive into data about your customers and offer predictions about consumer preferences, product development, and marketing channels.
CrayonHelixa3. Unify analytics and customer data.
AI is also used to unify data across platforms. That includes using the speed and scale of AI to pull together all your customer data into a single, unified view. AI is also capable of unifying data across different sources, even hard-to-track ones like call data.
BlueconicInvoca
It is Robotics part of AI? Is AI part of robotics? What is the difference between the two terms? We answer this fundamental question.
Robotics and artificial intelligence (AI) serve very different purposes. However, people often get them mixed up.
A lot of people wonder if robotics is a subset of artificial intelligence. Others wonder if they are the same thing.
Since the first version of this article, which we published back in 2017, the question has gotten even more confusing. The rise in the use of the word "robot" in recent years to mean any sort of automation has cast even more doubt on how robotics and AI fit together (more on this at the end of the article).
It's time to put things straight once and for all.
The first thing to clarify is that robotics and artificial intelligence are not the same things at all. In fact, the two fields are almost entirely separate.
A Venn diagram of the two fields would look like this:
As you can see, there is one area small where the two fields overlap: Artificially Intelligent Robots. It is within this overlap that people sometimes confuse the two concepts.
To understand how these three terms relate to each other, let's look at each of them individually.
What is robotics?Robotics is a branch of technology that deals with physical robots. Robots are programmable machines that are usually able to carry out a series of actions autonomously, or semi-autonomously.
In my opinion, there are three important factors which constitute a robot:
Robots interact with the physical world via sensors and actuators.Robots are programmable.Robots are usually autonomous or semi-autonomous.I say that robots are "usually" autonomous because some robots aren't. Telerobots, for example, are entirely controlled by a human operator but telerobotics is still classed as a branch of robotics. This is one example where the definition of robotics is not very clear.
It is surprisingly difficult to get experts to agree on exactly what constitutes a "robot." Some people say that a robot must be able to "think" and make decisions. However, there is no standard definition of "robot thinking." Requiring a robot to "think" suggests that it has some level of artificial intelligence but the many non-intelligent robots that exist show that thinking cannot be a requirement for a robot.
However you choose to define a robot, robotics involves designing, building and programming physical robots which are able to interact with the physical world. Only a small part of robotics involves artificial intelligence.
Example of a robot: Basic cobotA simple collaborative robot (cobot) is a perfect example of a non-intelligent robot.
For example, you can easily program a cobot to pick up an object and place it elsewhere. The cobot will then continue to pick and place objects in exactly the same way until you turn it off. This is an autonomous function because the robot does not require any human input after it has been programmed. The task does not require any intelligence because the cobot will never change what it is doing.
Most industrial robots are non-intelligent.
What is artificial intelligence?Artificial intelligence (AI) is a branch of computer science. It involves developing computer programs to complete tasks that would otherwise require human intelligence. AI algorithms can tackle learning, perception, problem-solving, language-understanding and/or logical reasoning.
AI is used in many ways within the modern world. For example, AI algorithms are used in Google searches, Amazon's recommendation engine, and GPS route finders. Most AI programs are not used to control robots.
Even when AI is used to control robots, the AI algorithms are only part of the larger robotic system, which also includes sensors, actuators, and non-AI programming.
Often — but not always — AI involves some level of machine learning, where an algorithm is "trained" to respond to a particular input in a certain way by using known inputs and outputs. We discuss machine learning in our article Robot Vision vs Computer Vision: What's the Difference?
The key aspect that differentiates AI from more conventional programming is the word "intelligence." Non-AI programs simply carry out a defined sequence of instructions. AI programs mimic some level of human intelligence.
Example of a pure AI: AlphaGoOne of the most common examples of pure AI can be found in games. The classic example of this is chess, where the AI Deep Blue beat world champion, Gary Kasparov, in 1997.
A more recent example is AlphaGo, an AI which beat Lee Sedol the world champion Go player, in 2016. There were no robotic elements to AlphaGo. The playing pieces were moved by a human who watched the robot's moves on a screen.
What are Artificially Intelligent Robots?Artificially intelligent robots are the bridge between robotics and AI. These are robots that are controlled by AI programs.
Most robots are not artificially intelligent. Up until quite recently, all industrial robots could only be programmed to carry out a repetitive series of movements which, as we have discussed, do not require artificial intelligence. However, non-intelligent robots are quite limited in their functionality.
AI algorithms are necessary when you want to allow the robot to perform more complex tasks.
A warehousing robot might use a path-finding algorithm to navigate around the warehouse. A drone might use autonomous navigation to return home when it is about to run out of battery. A self-driving car might use a combination of AI algorithms to detect and avoid potential hazards on the road. These are all examples of artificially intelligent robots.
Example: Artificially intelligent cobotYou could extend the capabilities of a collaborative robot by using AI.
Imagine you wanted to add a camera to your cobot. Robot vision comes under the category of "perception" and usually requires AI algorithms.
Say that you wanted the cobot to detect the object it was picking up and place it in a different location depending on the type of object. This would involve training a specialized vision program to recognize the different types of objects. One way to do this is by using an AI algorithm called Template Matching, which we discuss in our article How Template Matching Works in Robot Vision.
In general, most artificially intelligent robots only use AI in one particular aspect of their operation. In our example, AI is only used in object detection. The robot's movements are not really controlled by AI (though the output of the object detector does influence its movements).
Where it all gets confusing…As you can see, robotics and artificial intelligence are really two separate things.
Robotics involves building robots physical whereas AI involves programming intelligence.
However, there is one area where everything has got rather confusing since I first wrote this article: software robots.
Why software robots are not robotsThe term "software robot" refers to a type of computer program which autonomously operates to complete a virtual task. Examples include:
Search engine "bots" — aka "web crawlers." These roam the internet, scanning websites and categorizing them for search. Robotic Process Automation (RPA) — These have somewhat hijacked the word "robot" in the past few years, as I explained in this article. Chatbots — These are the programs that pop up on websites talk to you with a set of pre-written responses.Software bots are not physical robots they only exist within a computer. Therefore, they are not real robots.
Some advanced software robots may even include AI algorithms. However, software robots are not part of robotics.
Hopefully, this has clarified everything for you. But, if you have any questions at all please ask them in the comments.
This is a technology of AI with which the robots can see. The computer vision plays vital role in the domains of safety, security, health, access, and entertainment.
Computer vision automatically extracts, analyzes, and comprehends useful information from a single image or an array of images. This process involves development of algorithms to accomplish automatic visual comprehension.
Hardware of Computer Vision SystemThis involves −
Power supplyImage acquisition device such as cameraA processorA softwareA display device for monitoring the systemAccessories such as camera stands, cables, and connectorsTasks of Computer VisionOCR − In the domain of computers, Optical Character Reader, a software to convert scanned documents into editable text, which accompanies a scanner.
Face Detection − Many state-of-the-art cameras come with this feature, which enables to read the face and take the picture of that perfect expression. It is used to let a user access the software on correct match.
Object Recognition − They are installed in supermarkets, cameras, high-end cars such as BMW, GM, and Volvo.
Estimating Position − It is estimating position of an object with respect to camera as in position of tumor in human’s body.
Application Domains of Computer VisionAgricultureAutonomous vehiclesBiometricsCharacter recognitionForensics, security, and surveillanceIndustrial quality inspectionFace recognitionGesture analysisGeoscienceMedical imageryPollution monitoringProcess controlRemote sensingRoboticsTransportApplications of RoboticsThe robotics has been instrumental in the various domains such as −
Industries − Robots are used for handling material, cutting, welding, color coating, drilling, polishing, etc.
Military − Autonomous robots can reach inaccessible and hazardous zones during war. A robot named Daksh, developed by Defense Research and Development Organization (DRDO), is in function to destroy life-threatening objects safely.
Medicine − The robots are capable of carrying out hundreds of clinical tests simultaneously, rehabilitating permanently disabled people, and performing complex surgeries such as brain tumors.
Exploration − The robot rock climbers used for space exploration, underwater drones used for ocean exploration are to name a few.
Entertainment − Disney’s engineers have created hundreds of robots for movie making.

Robotics is a domain in artificial intelligence that deals with the study of creating intelligent and efficient robots.
What are Robots?Robots are the artificial agents acting in real world environment.
ObjectiveRobots are aimed at manipulating the objects by perceiving, picking, moving, modifying the physical properties of object, destroying it, or to have an effect thereby freeing manpower from doing repetitive functions without getting bored, distracted, or exhausted.
What is Robotics?Robotics is a branch of AI, which is composed of Electrical Engineering, Mechanical Engineering, and Computer Science for designing, construction, and application of robots.
Aspects of RoboticsThe robots have mechanical construction, form, or shape designed to accomplish a particular task.
They have electrical components which power and control the machinery.
They contain some level of computer program that determines what, when and how a robot does something.
Difference in Robot System and Other AI ProgramHere is the difference between the two −
AI ProgramsRobotsThey usually operate in computer-stimulated worlds.They operate in real physical worldThe input to an AI program is in symbols and rules.Inputs to robots is analog signal in the form of speech waveform or imagesThey need general purpose computers to operate on.They need special hardware with sensors and effectors.Robot LocomotionLocomotion is the mechanism that makes a robot capable of moving in its environment. There are various types of locomotions −
LeggedWheeledCombination of Legged and Wheeled LocomotionTracked slip/skidLegged LocomotionThis type of locomotion consumes more power while demonstrating walk, jump, trot, hop, climb up or down, etc.
It requires more number of motors to accomplish a movement. It is suited for rough as well as smooth terrain where irregular or too smooth surface makes it consume more power for a wheeled locomotion. It is little difficult to implement because of stability issues.
It comes with the variety of one, two, four, and six legs. If a robot has multiple legs then leg coordination is necessary for locomotion.
The total number of possible gaits (a periodic sequence of lift and release events for each of the total legs) a robot can travel depends upon the number of its legs.
If a robot has k legs, then the number of possible events N = (2k-1)!.
In case of a two-legged robot (k=2), the number of possible events is N = (2k-1)! = (2*2-1)! = 3! = 6.
Hence there are six possible different events −
Lifting the Left legReleasing the Left legLifting the Right legReleasing the Right legLifting both the legs togetherReleasing both the legs togetherIn case of k=6 legs, there are 39916800 possible events. Hence the complexity of robots is directly proportional to the number of legs.
It requires fewer number of motors to accomplish a movement. It is little easy to implement as there are less stability issues in case of more number of wheels. It is power efficient as compared to legged locomotion.
Standard wheel − Rotates around the wheel axle and around the contact
Castor wheel − Rotates around the wheel axle and the offset steering joint.
Swedish 45o and Swedish 90o wheels − Omni-wheel, rotates around the contact point, around the wheel axle, and around the rollers.
Ball or spherical wheel − Omnidirectional wheel, technically difficult to implement.

In this type, the vehicles use tracks as in a tank. The robot is steered by moving the tracks with different speeds in the same or opposite direction. It offers stability because of large contact area of track and ground.
Robots are constructed with the following −
Power Supply − The robots are powered by batteries, solar power, hydraulic, or pneumatic power sources.
Actuators − They convert energy into movement.
Electric motors (AC/DC) − They are required for rotational movement.
Pneumatic Air Muscles − They contract almost 40% when air is sucked in them.
Muscle Wires − They contract by 5% when electric current is passed through them.
Piezo Motors and Ultrasonic Motors − Best for industrial robots.
Sensors − They provide knowledge of real time information on the task environment. Robots are equipped with vision sensors to be to compute the depth in the environment. A tactile sensor imitates the mechanical properties of touch receptors of human fingertips.


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We can make Robots as smart as a human by using a cloud brain.
Helpful humanoid robots will be affordable for homes by 2025.
This will be achieved by cloud-connected robots,
where diverse models of robots share a brain hosted on a cloud platform.
Your robot will have access to an ever-growing number of skills
similar your smart phone’s access to apps today.

We make helpful robot services possible; and to make them safe, secure and affordable.
Our mission is to implement the Vision. As breakthroughs continue along the way to the Vision becoming reality, AIRoboticsPro is preparing to be an operator of diverse models robots
for people with a wide range of interests and needs.
Have a robot? We can make it smarter.
Have AI skills? We can integrate them into ever-expanding cloud brains.
AIRoboticsPro is the creator of an emerging fabric to connect a multitude of AI skills to cloud robots (and other smart devices).
We are a catalyst that increases the value of AI developed anywhere in the world
by creating seamless interoperability with robots (and other smart devices).





Image Credit: Todd Johnson, San Francisco Business Times
Our extensive research and development in creating empathetic digital companions, and the impressive results of our testing with ElliQ among older adults over these past 5 years has led us to the conclusion that ElliQ is uniquely positioned to help improve the lives of older adults — offering support for more than just loneliness, social isolation, and wellness.


We are delighted to welcome Michael Kupferman to our leadership team as our new VP R&D. With over 20 years of experience as an R&D leader and several prominent management roles under his belt, Michael is a natural fit for the role — as well as to our team culture and values.


Note: The above photo was taken prior to the start of Covid-19.
2020 is finally over! As we’ve all experienced, it was perhaps the most tumultuous, uncertain, and challenging year that many of us have ever endured. While we are excited to move on to a new chapter (and year) ahead, I wanted to first take this opportunity to reflect on this whirlwind of a year.


Over the last 5 years alone, the use of digital assistants worldwide has steadily climbed at warp speed. In fact, according to Statista, around 3.25 billion digital voice assistants were used in 2019, and 4.2 billion are anticipated to be used by the end of 2020. Those numbers are expected to continue to grow tremendously throughout these next few years, roughly doubling to 8.4 billion by 2024.


If there’s one phrase that we’ve heard countless times throughout this pandemic, it’s that “humans are social beings.” We absolutely are — and our innate ability to form bonds and make connections with those around us is an essential component of who we are. Yet today, perhaps the most prevalent, perpetual “relationship” within many of our lives — especially as we self-isolate at home — is not with other people, but rather, with technology.


Every year, more and more of us are using AI agents, such as voice assistants, within our cars on a regular basis. In fact, one large-scale survey found that nearly half of consumers today use in-car voice assistants – and by 2022, they predict that approximately 73% of consumers will use an in-car assistant. Up until now, we’ve primarily used these assistants in a utilitarian, command-based format – they wait for us to give them a command, and they carry out our requests accordingly.


In the last few years alone, user experience (UX) has quickly become the driving force behind nearly every form of technology that we interact with. Some might even go as far as to argue that in certain cases, the design of a product is even more important than its utility.
Whether it’s a voice user interface, wearable gadget, or otherwise, now more than ever, people are yearning for seamless, personalized experiences — and with the growing presence of agents embedded into the products we use every day, human-agent interaction (HAI) design will be even more critical going forward.


David Cynman is a UX researcher that joined our team almost one year ago. His fascinating role involves a wide range of tasks related to ElliQ's research process, from helping with recruitment and installation, to checking in with and surveying users, analyzing data, and much more. We sat down with David to find out more about his unique outlook and experience after working on ElliQ and gaining further insight on technology for older adults.

With the huge amount of Robot Manufacturing Companies available in the industry, it becomes difficult to understand which company one should side with. Almost all companies provide robots with similar technological developments. However, Automationar is one of the leading one-stop robotics suppliers in China. We provide an endless number of high-efficiency in robotic solutions for manufacturing and production assemblies. These robots vary in models, size, design, and productivity. Let’s check out some of the details related to the SCARA robot:

1. SCARA
SCARA is the abbreviation of Selective Compliance Assembly Robot Arm or Selective Compliance Articulated Robot Arm. It simply means that these robot arms have been designed to perform a specified task. It was developed by Hiroshi Makino, a Japanese professor at the University of Yamanashi.
2. Tasks
These robots were developed for heavy repetitive work such as picking up and placing heavy materials from one place to another. It is particularly helpful during the assembly and distribution stage. Due to the high tolerance in the payload, certain tasks including tightening the lid to a jar or stacking a set of plywood for transport can be easily performed by the SCARA robot. These robot arms are also very useful to perform tasks that are precision-based such as, screwing driving.
3. Portability
These machines have been developed to eventually fold up on command which serves as a ‘self-packing’ advantage. This allows the employees to move the robot to and from its designated post. These robots are comparatively compact to the rest of the machines; however, they won’t necessarily fit in your purse either. They have been designed to be compatible with frequent movement and a steady position.
4. High-performance
The SCARA falls under the high-performance robots. The rest of the robotic arms have 360° rotatable joints at the base, shoulder, elbows, and wrists. Whereas, these compact robots have a 360° rotatable joint at the base and up to 150° rotatable joints at the elbows and wrists. For technical reasons, the repeatability speed increases to +/-0.01mm on the SCARA robots. On the other hand, the collaborative robots perform at a lower rate, delivering a repeatability rate of +/-0.01mm thus leading to a greater number of the final output.
5. Minimum Maintenance
The rest of the models and makes of the robots require a higher level of regular maintenance. Whereas, the SCARA models require a very nominal amount of maintenance at an even less of a frequency. SCARA Robot Manufacturers categorize this machine as one of the easiest robotic arms to take care of. All the factors, features and elements of each robotic arm may vary but they have simply been designed to perform different tasks. Each of them comes with a different purpose. Industrial Robot Manufacturers allow the tasks to be completed with utmost efficiency and reliability.

There are plenty of changing elements in the technological field today. Some of which, include the recent developments in the robotics industry. The term ‘robots’ doesn’t necessarily mean the gadgets and gizmos made to take over the human race. Trust us, these robots aren’t designed for self-destruction. However, they are designed to facilitate the repetitive work required at a production or manufacturing warehouse. These Industrial Robotic Arms have a ton of features, let’s have a look at some of them:

1. Machine-Power
The development of these machines increases the productivity levels as they are an extension of us humans. They are far more efficient and precise in technical elements. The employees can invest their time into programming and assisting the robotic system, rather than getting involved in tedious and repetitive work. Thus, resulting in saving man-power and time altogether.
2. Flexibility
The robotic arms tend to be very extremely flexible. These machines are simply divided into joints to easily facilitate the work. They feature a rotatable joint that allows the machines to move freely. The opportunities have increased for the computerized instructions/ commands.
3. High Expectations
The Palletizing Robots are designed to reach for heavier materials at higher places. These robots are idealized, planned and manufactured with high expectations in terms of efficiency and effectiveness. As these industrial robots play an important role in the loading and unloading system for heavy-materials; they are equipped with strong suction and magnetic grippers.
4. Efficiency
These robotics are programmed to cut down the chances of human error. The computerized commands given by the manager set the organized movements. The agenda set for day allows the machine to perform the same tasks with the same accuracy, unlike humans. The output per robot to its specified task can be timed, resulting in accurate final output calculations. This helps in keeping inventory of the mass-produced products.
5. Minimum Manual Labor
Introducing robots into an assembly line also reduce labor costs. It is important to have robots involved to keep up with high-intensity demands for manufacturing. The society has become extremely consumer-oriented thus leading to a high demand for products. Reducing the manpower not only removes the chances of error but, also reduces the overall cost. These funds can be invested in hiring expert technicians instead. Certain aspects are weighed in including tardiness, tiredness, repetition, frequency of changes of an employee, training and total output.
Before investing your time and effort into an assembly line robot, it’s important to know which Robotic Arm Manufacturers qualify as the best. Automationar is known to be one of the leading robotic arm manufacturers. They have a wide range of robots ready to be installed at your factory. Check out the options to find the most ideal robot for you today.

A collaborative robot assist humans in a shared workplace in any industrial unit. These robots, also known as cobots are designed to assist the workforce to complete their tasks more efficiently and obtain maximum efficiency in the work. Robot Manufacturing Companies are engaged in manufacturing cobots that help in varied tasks to meet diversified industry needs such as packaging, welding, transporting merchandise indoors and a lot more. In this way, these robots make the complex and tough logistic tasks much easier and faster. Some of the advanced robots designed by Robotic Arm Manufacturers are also adorned with intelligent functions such as person following, docking to machinery, voice communication, etc.

Some of the important factors leading to the fast growth of collaborative robots are the lack of efficient workers, increase in labor accidents and injuries at the workplace, the cost of medical expenses and workman compensation and insurance cost borne by the manufacturing units, lack of efficiency in the production process, higher product mixes with shorter cycle times, greater need for flexibility in automation and growing pressure for increased ROI in businesses.
One of the primary benefits of collaborative robots is their low cost of deployment. The ease of use and low cost of integration makes them an ideal choice for most kinds of industries. Nowadays, even small manufacturers are looking for robot manufacturing companies to get the best solutions with their budget. Some of the well-known manufacturers like Delta Robot Manufacturers have extensive experience in providing a wide array of cobots to serve the varied needs of industries. These robots are much safer than industrial robots as they improve the efficiency of the workers and work in coordination with them. These robots are very flexible, so they can perform a variety of tasks that helps to increase the ROI of any business. Some of the appealing benefits of collaborative robots are ease of use, flexibility, safety, and quick ROI.
As the demand for collaborative robots is rising tremendously, Robotic Arm Manufacturers are coming up with a wide array of solutions for industries. Some Robot Manufacturing Companies have introduced robots to sort out the problems faced by the industries on a daily basis. Many studies have shown an increase in the demand for collaborative robots which is expected to reach a value of $7.5 billion by 2027.

Collaborative robots are nowadays used for variety of applications in a wide array of industrial units. These robots makes the whole process easier and faster. There are many different kinds of collaborative robots such as Welding Robot, palletizing robots etc.

Welding robot is designed to automate welding process so as to increase efficiency and consistency. These robots are capable of obtaining better weld quality, consistent cycle times and no break in production. A robotic welder can achieve superior quality by ensuring the correct welding angle, speed, and distance. These robots assure Ensuring that each welding joint is consistently produced to the highest quality.
A Palletizing Robot helps in making heavy items packaged in boxes or bags, and keep them on a shipping pallet. Palletized robots offer much benefits over conventional palletizers. They can handle much heavier loads, possess lesser space for complete operation, can handle multiple production lines and provide the flexibility to handle various stack patterns. They also provide completely automated tool to handle multiple products. As it assures better improvement in quality, consistency and productivity, palletizing robot reduces the overall cost and consumable energy in addition to lowering workers compensation and insurance costs.
AUBO Cobot manufactures are known for making intelligent collaborative robots for varied industries with state of the art technology and user friendliness for any application. These robots are designed to facilitate ROI in the real production environments. With hand guiding the operator can easily teach/program the robot way points or use a teach pendant and both require no programming skills.
Few collaborative robots can be programmed to guide the robot arm by hand. With the ease of use and low cost of integration, these machines are becoming preferable choice of all manufacturers, even small businesses with lower production volumes. Collaborative robots has led to increase in the production and profit margin, so the tasks can be completed faster. They have been nowadays adopted by a wide array of industries all across the globe. The market for collaborative robots is expected to increase in billions in the coming years.
They also improve the efficiency of the workers as workers are les prone to accidents and injuries. When looking for collaborative robots, one should consider various factors such as objective, efficiency, cost of robot, shipping costs etc. Most manufacturers provide cobots to meet the varied industry needs.

Cobot, co-robot is also known as Collaborative Robots. These robots share the workspace with humans to interact physically. These are made to design autonomously. Many industrial robots were still the same until 2010. Collaborative and robotics are combined to form cobotics. Corobot is those robots that are built and designed to collaborate with humans. For both humans and robots, a common workstation is made called a cobotic system. These robots can function in areas that are preoccupied with their human counterparts. They are designed with safety features. They can detect collision and force feedback and safe with humans. In the cobot market, universal robots are the leaders. Collaborative robots are always the best option. Collaborative robot technology is getting advance rapidly. There are three scenarios that why cobots are ideal:
· Repetitive and unergonomic tasks · Short or variable production runs · Collaborative environments
Collaborative robots are still young in robotics technology. They are given a short amount of time for a viable automation solution. It is difficult to determine a collaborative robot is your best application. It is not easy to understand between the two forms of robots.

Cobots are capable of working with humans in an office environment. Industrial Collaborative Robots have removed protective guards. Industrial robots are highly complex machines that can work hand in hand with human beings. They help, relieve and support human operators in a conjoint workflow. Cobots may take share from industrial robots because the line between them is getting blur. Cobots are safe and work with humans but they can do only simple and safe tasks that don’t require industrial strength. On the other hand, industrial robots do heavy tasks like welding and are kept in safe barriers. Cobots are getting tough, smart and easy to implement and train in any size of the facility. Collaborative robot technology is advance and can be deployed in different ways. Collaborative Robot Manufacturers follow three rules to make them. There are many dangerous works which humans cannot do, these robots can do so these are manufactured keeping in mind these things. Robots are flexible; they work very quickly and with great ease. These are very profitable as they do various types of tasks. They work with humans and collaborate with them easily.

Industrial robots are a robot system that is used in manufacturing. These robots are automatic, programmable and capable of moving on three or more axis. These are used in welding, painting, assembly, painting, labeling and packaging, testing and product inspection and pick place circuit boards. There are different types of industrial robots:
· SCARA · Cartesian · Cylindrical · Delta · Polar
Delta robots are parallel robots that have three arms these are connected to universal joints at the base. These parallelograms arms are used to maintain the orientation of the end factor to the contrast platform that can change the orientation of its end factor. These are used in picking and packaging in factories as they are very fast. These are also known as spider roots and industry parallel. These use servo motors and jointed parallelograms to position plate in its work zone. Delta Robot Manufacturers have made these robots very speedy and best that is suited for extremely light-duty tasks in a small work zone.

Selective compliance articulated robot arm (SCARA) or selective compliance assembly robot arm. These robots deliver you the high performance which is out of the box. These robots are very adaptable and can do various works. SCARA Robot Manufacturers design robots at high speed. They do high-speed assembly tasks in electronic industries. They are somewhat different from other robots; they do work more easily as compared to other robots as their programming is not complex. These robots are the cheapest but they have good speed for pick and place only delta robots can beat them. These can be easily installed. These are best suited for laser engraving and drawing tasks this is known as high precision of SCARA. SCARA’s new feature is gaining a lot of popularity; this feature is 3D painting but they do on a small scale. Those robots that have 6 axes can do painting on bigger objects. SCARA can do soldering as they have a laser effect that improves efficiency.
Robotic Arm Manufacturers design the arms to assist in mass production in factories like car manufacturing. They can also mitigate the injury of workers. They can also do monotonous tasks so that human workers can do complex work. The technology is getting advanced so the robotic vision and sensor technology is also changing.

Robotic engineers are designing next generation robots; these robots will look more like humans, act and feel like them. It will make easy for us to warm up to a cold machine. These robots will react naturally in the environment because they will have real looking hair and skin. There are many benefits of having robots one of them is their flexibility; this helps them in performing variety of application and tasks. Robots are more consistent and precise than human workers. They work so fast that it helps in profit margin and also increase production. There are many things which are dangerous for humans; there we choose robots to do these types of jobs and actions. Robots can go in danger areas like any building which is having bomb. They are used in factories to build different things like cars, electronics and candy bars. There are many dangerous works where humans lose their legs and arms. Robots also have some important components; sensors, controller, locomotion device, end effector and manipulator. Manipulator is that robots also have arms like humans which are called joints and links.

Palletizing Robots are seen in industries like food processing, shipping and manufacturing. Robotic palletizing is available in large variety with payload and reach. There are many end-of-arm-tooling styles which allow flexibility of different types of robot Pillarization. Suction and magnetic grippers handle more ridged items and they grip them from top while bag grippers encompass an item and support it from the bottom. If you make your shop automatic with a palletizing robot this will increase the consistency of loading and unloading process. The automatic palletizing is the process which consist all those activities which are necessary to stack different types of production on a pallet in an automatic and optimized way. Skilled robots are well known in the industry as they are extremely efficient and reliable as these are designed to handle this task. These are user friendly, safe and compact because of their perfect design.
Welding Robot is that use if mechanized programmable tools which automatically do wielding process which performs both handling and welding parts. Gas metal arc welding process is sometimes not automated and are not performed by robot wielding as human operators prepare the metals sometimes. In the automotive industries robot welding is commonly used for resistance spot welding and arc welding in high production. There are many advantages of robot welding; production cost is reduced, quality is improved, productivity and consistency. It delivers parts at reduced cost. There is less energy consumption and consumable cost is also less as compared to human workers compensation and insurance cost.
AUBO Robots are known for speed, flexibility, precision and easy redeployment in an automatic environment. These are lightweight and have a small footprint which increases their versatility and make them ideal so that they mount on the floor, wall or on the ceiling, this saves floor space which is premium at distribution and manufacturing facilities.

Collaborative Robots are also known co-robot or cobot. These robots are made to share a workspace with humans to physically interact. These robots are made to design autonomously or with less guidance; many industrial robots were also same till the year 2010. Cobotics word is formed by collaborative and robotics terms. Cobotare a robot which has been built and designed so that they collaborate with humans. A cobotic system is that workstation where both humans and robots collaborate. These can function in areas which are preoccupied by their human counterparts. Cobots are designed with safety features; they detect collision and force feedback, they make humans safe with whom they are working. In the cobot market universal robots are the leaders.

Cobots have many roles like they are capable of working together with humans in an environment of office; to Industrial Collaborative Robots who have removed protective guards. Industrial collaborative robots are highly complex machines which can work hand in hand with human beings. These robots help, relieve and support the human operator in a conjoint work flow. Collaborative robots may take shares from industrial robots because the line between industrial robot tasks and collaborative robots is getting to blur. Industrial robots perform heavy tasks like welding and are kept behind some safety barriers. On the other hand, collaborative robots are safe and can work with humans but they can do only simple and safe automatic tasks which don’t require industrial strength. All change with the flow so the collaborative robots are getting tough, smart and easy to implement and train in any size of facility. Collaborative robot technology is very advance and can be deployed in many ways. Collaborative Robot Manufacturers follow three rules to make them; they are many works which are dangerous for humans so these robots are manufactured keeping in mind so that they can do the tasks like holding heavy parts so that human workers can do less risky work. Robots are very flexible; they work very quickly and with greater ease. These are so profitable in environments where they have to do various different tasks. Collaborative robots are made to work with human workers. At some places, robots can complete a portion of work and a human worker can do work more with profit and complete it. Collaborative robot is always abest option.

Most industries keep on upgrading and updating technology to quality services at the minimum cost. More and more industrial units are nowadays counting on a large range of automatic machines for the most varied pipe packaging and handling requirements for reaching the requisite productivity and reliability levels. Industrial Robotic Arm is often engaged in developing various robotic solutions for attaining advantages and results which would not be possible with the human beings. Also, as the robots are capable of working in hazardous environment, more dangerous tasks are assigned to robots, so as to assure the safety and the health of the workers, thereby reducing expenditures on health and medicines. Robots are now extensively used for lifting and moving heavy projects and many other such tasks. Robots re also popularly used for palletizing and depallatizing in manufacturing units of varied kinds of industries.

Palletizing is a way to loading an object on a pallet or similar device, while de-palletizing refers to the operation of unloading the loaded object in the reverse pattern. Many factories and manufacturing plants have nowadays adopted palletizing robot being offered by leading Robotic Arm Manufacturers for automating the palletizing task. Robotic palletizing technology tends to speed up the production time and improve the quality and reduce the time of production. It also gives more flexibility to the process so as run products for longer periods of time. A robot control system has a built-in palletizing function to make it easy and fast to load and unload an object
Robotic Pelletizers were initially introduced for grabbing the product from a conveyor and position it onto a pallet. Pelletizing is last step in an assembly line before the product is loaded for being shipped into the truck or other mode of transportation.
Nowadays, Palletizing Robot offer more benefits and features than any other palletizing equipment. These pelletizers are perfect solutions for high-mix palletizing of cartons, bags, pails, glass bottles, trays and more. There are many different kinds of palletizing robot solutions being offered by Robotic Arm Manufacturers such as inline palletizing, layer depallatizing & palletizing, mixed palletizing and layer palletizing in the freezer. Its speed varies depending upon the product carried over by it. With fewer mechanical components, these palletisers assure less downtime and superior reliability.
Also, Palletizing Robot completes tasks with superior exactitude to make sure that rejection and losses are minimised. Also, it speeds up the production processes and consequently overall production and the profits from production are increased in the long run.

The growing competition, advances in technology and consumer demands have increased the importance of optimization of the speeds of production and packaging lines in varied industries. Increased speed is the ultimate goal for the most of the industrial units. The lack of fast and efficient production and packaging line are integral to improve product quality and grab better business opportunities to stay competitive in the market.

When human and robot collaborate, they can bring tremendous benefits to any small scale or large scale manufacturing unit. More and more businesses are now realizing the potential of collaborative robots and turning towards Robot Manufacturing Companies to get standard collaborative robots or customized solutions. For instance, Scara Robot Manufacturers are engaged in providing SCARA robot, a manipulator with four degrees of freedom. It is primarily designed and developed for enhancing the speed and reputability ON PICK&PLACE TASKS from one location to another. It also helps to improve the steps and speed up the process involved in the assembly. These robots are used in automotive, electrical and many other fields where manufacturers needs to feed bulk components of all sizes;
When an employee work with a robot, they often load a part of a work to a fixture, conveyor, or turntable and the rest of the task is completed by it. In this way, collaborative robot tends to minimize the time, cost, and floor space.
Many studies have shown that collaboration of human and robots leads to better results than production teams made of either humans or robots alone. It leads to significantly reduce the human idle time and improve the accuracy and efficiency of the output.
Robots are capable of working in complex human environments. It is easy to deploy robots, remove robots, or deploy humans within one central work space. It brings lots of flexibility in manufacturing facilities and also frees floor space and reduce the cost of implementing robotics for many manufacturers.
Industrial Robot Manufacturers are engaged in developing and providing collaborative robots also ensure better safety as they have sensing tools and work side-by-side with a human counterpart. These robots are also able to perform many complicated task not possible earlier.

Via archaeological artifacts as well as scriptures detailing the design of such technology, the reader discovers that starting more than 2000 years ago with Greek civilization and pursued by Byzantin and Arab later on, the foundations of modern automation technology were being set. Predominantly based on simple hydraulic rules, inventions of incredible ingenuity could be designed from automatic maids and fountains for courtyards of nobles and kings to moving and speaking statues for religious use inside temples.
Being more than just an overview of such inventions, the book seeks to highlight the long standing desire of the human to create technology and tools capable of performing the toil inducing, repeatable tasks. Through ancient art and mythology, we witness this desire and human vision for mastering nature's laws and exploiting them at our service. Which is the very definition of "robot" today, namely, the worker who performs labor on demand.
A very nice read, rich with pictures and well documented.

ISBN: 960-7931-71-8 Year: 2001 Language: Greek

It is very up to date with respect to the state-of-the-art in robotics technology and could be very easily read by audiences of all ages and backgrounds. As a professional in the domain, as well as an individual, i highly recommend it to potential readers (currently only francophones as i guess it has not yet been translated).



Wi-Fi signals are typically information carriers between a transmitter and a receiver. In this paper, we show that Wi-Fi can also extend our senses, enabling us to see moving objects through walls and behind closed doors. In particular, we can use such signals to identify the number of people in a closed room and their relative locations. We can also identify simple gestures made behind a wall, and combine a sequence of gestures to communicate messages to a wireless receiver without carrying any transmitting device. The paper introduces two main innovations. First, it shows how one can use MIMO interference nulling to eliminate reflections off static objects and focus the receiver on a moving target. Second, it shows how one can track a human by treating the motion of a human body as an antenna array and tracking the resulting RF beam. We demonstrate the validity of our design by building.
Link to paper: http://people.csail.mit.edu/fadel/papers/wivi-paper.pdf
Link to project web-page: http://people.csail.mit.edu/fadel/wivi/
On the other hand, a robot "valet" that carries your suitcases and follows you, is indeed within the french culture and in my opinion should have no problem to be accepted as technology...


Abstract: In fine art, especially painting, humans have mastered the skill to create unique visual experiences through composing a complex interplay between the content and style of an image. Thus far the algorithmic basis of this process is unknown and there exists no artificial system with similar capabilities. However, in other key areas of visual perception such as object and face recognition near-human performance was recently demonstrated by a class of biologically inspired vision models called Deep Neural Networks. Here we introduce an artificial system based on a Deep Neural Network that creates artistic images of high perceptual quality. The system uses neural representations to separate and recombine content and style of arbitrary images, providing a neural algorithm for the creation of artistic images. Moreover, in light of the striking similarities between performance-optimised artificial neural networks and biological vision, our work offers a path forward to an algorithmic understanding of how humans create and perceive artistic imagery.
Original article


We can't wait any longer- people are drowning and the technology exists to help. We have permission from the Hellenic Coast Guard and partial funding but are short $5,000. We will send 2 small robot marine vehicles (EMILY, which are used by the Los Angeles County Fire Department to rescue drowning victims) and a team of 4 to rescue drowning refugees fleeing from Turkey to Greece. Check fundraiser site below
https://www.gofundme.com/Friends-of-CRASAR

The automatic maid of Philon:
(the first operational robot in history)
This is about a humanoid robot in the form of a maid (in natural size), holding on the right hand a wine jar. When a visitor placed a cup on the palm of her left hand, she would initially pour wine and subsequently mix it with water following the visitor' s desire.
Description of operation: There are two containers in the interior of the maid, filled with water and wine, respectively. Two tubes that start at the bottom of the containers go through the right hand and conclude at the tip of jar. Two air tubes are exposed to the top of the two containers and go through their interior, passing through the stomach. Her left hand is connected through a joint to her shoulder while a spring placed at its center lifts the arm upwards. Another two tubes commence from the same point and go down (going through and blocking the perforated corners of the air tubes). The tubes of the joint dispose two holes/openings at their endings, the hole that connects with the wine container preceding that which connects with the water container. When the cup is placed at the palm of the maid, her left hand goes down and the tubes of the joint go upwards. The opening of one of the tubes is aligned with the air tube of the wine container, air enters the container and wine flows from the tube of the wine jar to the cup. When the cup becomes half full with wine, the hand (due to its weight) goes further down, the opening of the air tube for the wine is blocked and the flow is interrupted. At the same time, the opening of the second tube is aligned with the air tube for the water container and water starts to flow in the cup for diluting the wine. When the cup is entirely full, the hand continues to go further down (due to its weight), the opening of the air tube to the water container is blocked and water flow is interrupted. Moreover, if the cup is removed from the hand at any time, the left hand goes upwards, the tubes of the joint go down, thus blocking the air tubes and creating a void in the containers and the flow of liquids is halted. Thus, the maid fills our cup with pure wine or wine diluted with water at the desired ratio, depending on the time when we remove the cup from her hand.
Full information below:
http://innorobo.com/en/home/

Antoine Cully, Jeff Clune, Danesh Tarapore, Jean-Baptiste Mouret, Robots that can adapt like animals, Nature, 2015.
Abstract: Robots have transformed many industries, most notably manufacturing, and have the power to deliver tremendous benefits to society, such as in search and rescue, disaster response, health care and transportation. They are also invaluable tools for scientific exploration in environments inaccessible to humans, from distant planets to deep oceans. A major obstacle to their widespread adoption in more complex environments outside factories is their fragility. Whereas animals can quickly adapt to injuries, current robots cannot ‘think outside the box’ to find a compensatory behaviour when they are damaged: they are limited to their pre-specified self-sensing abilities, can diagnose only anticipated failure modes and require a pre-programmed contingency plan for every type of potential damage, an impracticality for complex robots. A promising approach to reducing robot fragility involves having robots learn appropriate behaviours in response to damage, 11, but current techniques are slow even with small, constrained search spaces. Here we introduce an intelligent trial-and-error algorithm that allows robots to adapt to damage in less than two minutes in large search spaces without requiring self-diagnosis or pre-specified contingency plans. Before the robot is deployed, it uses a novel technique to create a detailed map of the space of high-performing behaviours. This map represents the robot’s prior knowledge about what behaviours it can perform and their value. When the robot is damaged, it uses this prior knowledge to guide a trial-and-error learning algorithm that conducts intelligent experiments to rapidly discover a behaviour that compensates for the damage. Experiments reveal successful adaptations for a legged robot injured in five different ways, including damaged, broken, and missing legs, and for a robotic arm with joints broken in 14 different ways. This new algorithm will enable more robust, effective, autonomous robots, and may shed light on the principles that animals use to adapt to injury.
Article reference: http://dx.doi.org/10.1038/nature14422


The race for ever-increasing discriminative power in image classification has been heating up over the last period.
2 days ago the chinese Baidu search company announced that they beat the previous record in image recognition set by Microsoft Research, by a marginal 0.36% less error rate. Microsoft was the first to surpass human recognition performance almost 3 months ago in February 2015, with Google currently holding the 2nd best recognition performance.
All this is made possible through the use of deep convolutional networks and deep learning schemes, namely, the construction of neuromorphic recognition schemes where raw information passes through multiple intermediate layers before giving the desired class recognition output. This is made possible by using immense computational power (super-computers) which is directed into training a system onto huge amounts of ground-truth data.
These news come as a follow-up to the previous post on human emotion emulation and recognition where scientists reported that the corresponding system could reach and marginally exceed the human recognition performance of emotions!
For those interested, you may have a look at the news talking about the technological breakthrough here:
Baidu’s Artificial-Intelligence Supercomputer Beats Google at Image Recognition
and at the arxiv repository for corresponding scientific documentation on the respective systems:
- Baidu: Deep Image: Scaling Up Image Recognition - Microsoft: Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification

A marvelous technological achievement brought when social sciences and engineering sciences meet altogether, by talented people. Can you imagine this expression capacity to be demonstrated by an actual robot? The amount of empathy or antipathy would you develop as a response? What would happen if these automatic emotive expressions could be intelligently emulated in order to induce a certain emotional response to the recipient? The following article is a MUST read...
Cambridge University & Toshiba | Zoe the emotional avatar of the future
The contradiction...
Below is the definition of the word "Robot", quoted from different on-line dictionaries:
- A machine capable of carrying out a complex series of actions automatically, especially one programmable by a computer.
- A person who acts and responds in a mechanical, routine manner, usually subject to another's will; automaton.
and so on... The origin of the word "Robot" is from Czech, literally meaning "forced labor".
The above two definitions are particularly interesting. Because they both clearly suggest that one can immediately turn himself into a robot if he simply put himself at the service of an external authority-power.
Afterwards, the degree to which somebody is more skillful and effective compared to others in doing things automatically and repeatedly, only concerns how good or bad robot he or she is. It is not so much a matter of the quality of the "forced labor" to actually be a robot. This only affects the level of responsibility that will be appointed to the voluntary human robot.
So i ask again, are we robots ourselves? I think the answer is undeniable. Human behavior tends to be identical to the very definition of robot. But is this actually truly human or not? Or better, are we still in the state of robots before having accomplished to express our pure human nature?
We are trying to build artificial robots, and still we seem not to have accomplished much of our expectations. We all however become robots whenever we give away our own will to someone else's and provide our skills to another's service.
Given the current status, it seems to me more likely that we are going towards a robotization of ourselves. Metaphorically and literally...
As of the time of this writing, the hour is late. Time for me to recharge...
For those having crazy christmas gift ideas, check out the full description here.
Note: i don't know in which of the blog categories to put this post, but depending on how many of you will see it and share it i will look into creating an appropriate new blog category. So... you know what you have to do 😉
Robots are also in use by the military, space exploration, civil security and fire-protection at a small scale, but it seems that their integration will proceed further in view of their advantages over humans. This, of course, has a different meaning for each particular case, but at the basis of all we can recognize cost and responsibility.
Regarding cost, it appears as a natural consequence if a robot substitutes a human, given that both can do equally well the respective job but the robot construction and maintenance is much more cheaper. Well... at least if that does not concern your job and only if the substitution of the human by the robot means that the respective product will be cheaper for you, the consumer.
If that's the case, what about the unlucky man/woman that will loose his/her job because of the robot? Before answering that question, consider if you prefer to pay the more expensive product/service given by the man or the less expensive product/service given by the robot. If you are a philanthropist and prefer to save the man's job, what do you think that the rest of the society will prefer? You may start to think now, that the substitution of the man is inevitable, if not necessary. You may even become positive if you think that for the construction and maintenance of the robot, other men will have to work and new jobs will be have to be created.
In any case, the relation between production cost of a robot/machine and human labor cost seems to have a well-understood basis and a long history today, as it has started some centuries now with the industrial revolution.
But the use of robots outside the factory and in particular within human society has and will have very serious new implications. Within the small, constrained boundaries of a factory, the notion of responsibility is very clear and accountability for the operation of robots is strictly within the limits of the company.
Unfortunately, we are not yet ready to understand these concepts for robots that are at the hands of consumers and in general out there in the open world (see earlier posts Beginning of a new era and Beginning of new era II). With robots being produced at a global scale and without any regulation for permission of use, anybody with good gaming skills can become a robot owner and user.
I truly do not wish that as a society we will need to realize the potential of this technology through an unfortunate event, but i fear that the freedom and lack of control for use of this technology will sooner or later lead to such an outcome.
The source of the following video is from euronews channel and is about a series of air drone flights in the surroundings of several nuclear plants around France, which are currently under investigation with no information yet about the purpose of those flights or their operators.
Is it about naive enthousiasts that just want to draw attention and try something daring, or is there something more serious behind such actions? Whatever the answer, now is the time to see robotics from a very serious perspective before we need to pay the cost of negligence. The days of innocence will soon be over.
You are advised NOT to try this at home (i meant the sunbathing on the terrace).

Robots help students with autism learn social skills

Ten students with autism recently used robots to help learn some social and behavioral skills during a two-week Camp BLAST -- Behavior, Language, and Sensory/Social Transition. Juliet White, student services officer for the Beaufort County School District in South Carolina, said the district put the program on hold at the beginning of the pandemic, but it is growing this fall when each school is slated to have one of two models of the robots. Full Story: The Island Packet (Hilton Head Island, S.C.) (6/27)
SEE source: https://www.islandpacket.com/news/local/education/article262901353.html

From: The Clicbot Team
To: markgura@_____
Sent: Mon, Apr 11, 2022 11:00 am
Subject: How can you miss this wonderful time🌺?


The sunshine is warm, the wind is gentle.
How can you miss this wonderful time?
Let's go to spring with ClicBot!


Good helper to take pictures!

Handraitbot watering plants in the spring~

Winter is over, it's time to do sports together~

It can be said that the most “Spring” ClicBot!

Beautiful flowers are dancing.
Glad that spring is coming~

Learn M



From my email IN BOX today
Basic Builds: Lighthouse
https://drive.google.com/file/d/1w4Km7Vd1ZyL14s72LCtpSgf3ScjzJE9-/view
Go to @modbotmary on Instagram to see the lighthouse reel!

See full article at its source: https://www.smartbrief.com/original/2021/12/integrating-culture-and-history-robots
"My school, the New England Jewish Academy, is a dual-curriculum school. I teach general studies to students in 1st and 2nd grade for half of the school day, and my students spend the other half of their days with a Hebrew teacher and a Judaics teacher. That means I get about half the time to teach the same content that teachers who work with students all day get.
One of the ways I make the most of my instructional time is by integrating different content areas into the same lessons, sometimes in surprising ways. This year, for example, I have been working with my students’ Judaics teacher, Shifra Silver, to combine STEM learning with lessons about Jewish holidays.
A robot ritualThis year our principal, Rabbi Zev Silver, introduced me to a screen-free educational robot called KIBO. As we looked through resources and lessons for using it, we came across the Limudei Code-Esh (LCE) project from a partnership with Tufts University and the David Lear Sulman Fund. LCE is a STEAM program that integrates coding and computational thinking through six Jewish holidays: Sukkot, Chanukkah, Tu B'shevat, Purim, Pesach, and Yom Ha’atzmaut. It was created as a collaboration between Tufts Professor Marina Bers, the co-creator of KIBO, and Jewish educators from orthodox, conservative, and reform day schools and supplemental schools,
We began with the unit for Sukkot, which includes a ritual where participants gather a palm frond, a myrtle leaf, and a willow branch. They bind them together to form a bundle called a lulav, and then shake them together with a citron in each of the cardinal directions, as well as up toward the sky and down toward the ground, all the while walking around a table reciting a prayer. The ritual is a reminder of the time that the Jewish people spent wandering in the desert, and a celebration of how they found what they needed to survive and thanked God for it.
Since we were more interested in ensuring the students understood the ritual than gathering materials, my students’ Judaics teacher Shifra Silver put together lulavs for the students with green toothpicks, little frilly pieces that looked a bit like leaves, and yellow push pins for the citron that would hold the whole thing together. We started by having students program their robots to perform the shaking part of the ritual, but expanded the focus on having them teach their robots to “walk” around a small table called a bimah that we set up on the floor.
We provided craft materials to the students, as well as art platforms for them to attach to the KIBO kit to carry the lulav on..
...Helen Schwartz teaches 1st and 2nd grade at the New England Jewish Academy, where she recently used KIBO to help her students celebrate Hannukah. She can be reached at hschwartz@neja.org."
Join and Protect Our Animals
After three months of trials and competitions, the 2021 MWRC Global Online Finals was successfully concluded. More than 200 teams from around the world engaged in the competition, including Mainland China, Singapore, Japan, Russia, Ukraine, the United States, Canada, Finland, Hong Kong (China), UAE and Australia, etc.
In this competition, which was themed [Join and Protect Our Animals], children from all over the world created various animal protection plans by combining wonderful ideas with the topic Environmental Protection and using their own coding works. That was amazing
Competition Review
The young contestants were ingenious and their division of work was clear. They used paper, brushes, Lego blocks and other readily available materials to create a conservancy in their own minds.

Little Matatalab guardians can be seen everywhere, whether in the jungle, in the desert or on the glacier.

Some were cleaning up garbage over and over on the wavy seashore.


Some were secretly patrolling in the jungle.


Some were walking between volcanoes and glaciers.


Some were cleaning up plastic garbage in the conservancy.


Members of each team participating in the competition worked hard and cooperated quite skillfully. It can be seen at a glance that they have practiced a lot. No wonder the works presented were so amazing.

We are so proud to see the smiling faces of the children from worldwide!

Winners
There were so many participating teams, and wonderful works were emerging one after another. Which teams would then finally stand out and win the honors of the year?

How to Create a Robot Library


From the Journal & Courier https://www.jconline.com/story/news/2021/08/21/gps-guided-robot-helps-turn-lafayettes-loeb-stadium-into-soccer-pitch/8208720002/
LAFAYETTE, Ind. — Loeb Stadium is much more than just a baseball field with it being used as a commencement ceremony site, a venue for possible future concerts and now, a soccer field…
…The soccer field lines were painted on by field management company GPS Lining. According to GPS' website, "the world’s first and most comprehensive autonomous GPS paint robot" is used for painting the soccer field. "Intelligent One," as the robot is called, uses Global Positioning System (GPS) technology to paint concisely straight lines. "It's a really neat process, they used a robot," Miner said. "They gave it like two GPS points and that robot would get to where the line stopped and it shut off the chalk paint and would turn around and come back."

From T.H.E. Journal... https://thejournal.com/articles/2021/08/12/4-keys-to-robotics-activities-for-young-learners.aspx
STEM Education
"4 Keys to Robotics Activities for Young LearnersPhysical computing with robots for young learners offers an engaging, collaborative, creative and standards-based approach to any makerspace program.
By Bryan Flaig 08/12/21As more students return to classrooms in the fall, they will be looking for the kinds of hands-on activities they couldn’t experience during distance learning. Educators will also be looking for ways to get students problem-solving, collaborating, and sharing ideas in ways that couldn’t happen over Zoom. Making physical computing with robots part of a makerspaces program addresses these issues and re-engages students in learning.
In my work with schools to design makerspaces and STEM programs, I’ve found a few key features that help when introducing robots to young learners. First, the activities should quickly engage students and bring them into the learning process. Second, teachers should consider time and space requirements for robotics activities to get the most out of formal and informal learning opportunities. And lastly, activities should be aligned to grade-level standards as much as possible.
Starting with the RobotThe robots I’ve found most engaging for introducing pre-K–1 students to physical computing are KIBOs from Kinderlab Robotics. Students are drawn to the tactile features — it has a wooden top and thick plastic sides that make it approachable and easy for young students to grip as they develop fine motor skills. It’s also screen-free: Students program their robot with blocks that are also made of wood, similar to building blocks.
Finally, KIBO doesn’t have what I call a pre-made “personality.” Some robots designed for young learners are already an animal or have features that limit creative imagination. It doesn’t have features that make it easy to fit into a gender, which avoids the biases that can push girls out of STEM. Students quickly discover that their robot can be anything they want it to be.
Storytelling Hits All the Key FeaturesOnce students have been introduced to the parts and basic programming features, like getting their robot to move, teachers can increase engagement through storytelling. An introductory activity that I like incorporates the book Move!, by Steve Jenkins and Robin Page.
In the makerspace, teachers read the story, which involves descriptions of different animals and how they move. Students are asked to draw a picture of an animal, either from the story or one they know about, and tape it to the top of their robot. Then, students design a program with motion blocks to have the robot move like their animal. Having students work in pairs can promote productive talk, and teachers will hear students reflecting on parts of the story as they work to sketch and design the movement for their animal. An assessment might involve interviewing students to find out why they made a certain animal, how their computer program works, or how the story influenced their project.
I like this activity for other reasons, too. Depending on school bell schedules, reading and drawing can be done one day and programming the next. Drawings can be easily stored, which helps with managing the activity. Students can work in defined areas of the makerspace that don’t require a lot of room. The activity relies on simple materials: paper, crayons, and tape. There’s potential to align it with content standards, such as reading, talking, and writing. And there’s a high ceiling for creative thinking. I once observed two kindergarten girls imagine KIBO as a polar bear. They built an ice wall with the wooden programming blocks and screamed with delight when they got their program working and the bear smashed through the ice wall!
Self-Directed Learning Through Bowling..." next »
FROM Tech & Learning


From my in box...I've long been a fan of sensible learning challenge-type events as learning contexts associated with Student Robotics.


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trends6 Reasons to Make Virtual Robotics Program a Core Part of Your Curriculum July 06, 2021
Why all schools should integrate a virtual coding and robotics platform into their learning environments.
GUEST COLUMN | by Paul Keeney
Internationally, robotics and coding are becoming required curriculums for middle and high school students, yet the U.S. remains behind schedule in this area. Where many other countries are infusing coding, robotics, and computational thinking into their curriculums, a lot of schools here are stuck in somewhat of a technology inertia as they look for ways to catch up.
‘Middle school students like action, and they like things to have a purpose.’
Here are six key reasons why I see virtual coding and robotics programs becoming a mainstay in our nation’s schools:
1. Virtual robots are just as “real” as their physical counterparts. One day I opened up the cabinet full of robots and told my class, “There’s $8,000 worth of robots in here, but we can’t use them because the school district is not letting us share equipment this year.” I then asked my hybrid schedule students to look at the robot on their computer screens, and they noticed right away that it was the same robot design.
So, where our revamped robotics course may be fully online, it’s based on real-world applications that students can relate to and engage with in a blended learning model. Also, because I understand the LEGO EV3 programming (that’s what I normally teach in my class), the transition to using the CoderZ STEM curriculum was very easy.
2. Virtual robotics helps students develop new skills. Physical robots often lead kids to focus more on design and less of the coding, science, and math skills that drive the virtual robots.
3. They support equity in education. Virtual robotics promote equity because every student in a district can get access to the platform—not just those that attend a school with a robotics platform, or that can afford an after-school club or elective.
4. Kids can work at their own pace. Our Computer Science/STEM curriculum provides the perfect solution for a self-paced, flipped, or blended classroom where kids can use the same skills that they would even if they were using real robots. Only now there’s no hardware to worry about; it’s all online. Knowing this, I’ve also suggested our STEM platform to other teachers who teach technology education at other schools in our district.
‘This is helpful as I pivot between in-class, distance, and hybrid learning…’
5. Students love it. Our robotics platform is engaging for students and includes a lot of different gamification qualities. Middle school students like action, and they like things to have a purpose. Because the STEM platform is basically an obstacle course-based set of challenges, most of them jump onto that and want to do well and get it right.
And when they don’t get it right, those students are anxious to keep improving until they do, versus seeing the coding work as an assignment or a chore. The curriculum is instructional, but not so much so that students get bored with it.
6. Teachers can easily track student progress and understanding. I use the built-in scoring within the platform to track student progress, and track the red, yellow, and green lights for every activity. I assign points based on the completed activities and level of comprehension. This is helpful as I pivot between in-class, distance, and hybrid learning, as I end up spending entirely too much time writing new activities and adjusting my current lesson plans.
This, in turn, impacts how I manage my grading system. With our STEM program, I can quickly review all of the progress made on mini-lessons, and detect potential problems (i.e., not many “dots” filled in means not a lot of work was completed).
It’s a No-BrainerIf your school is trying to come up with something that you can teach in any learning model – distance learning or in-person or a mix of both, this coding and robotics platform is a no-brainer because it’s structured well, engages students at a high level, and is teacher-friendly. In fact, even a teacher without a strong background in robotics or coding can pick the curriculum up and start using it on day one. In return, students learn the future-ready career skills that employers are looking for via a fun software package that’s easy to manage and teach.
—
Paul Keeney is technology education and engineering instructor at Oak View Middle School in Andover, Minn. Connect with him here: school website.

(from https://ktla.com/morning-news/technology/clockwork-manicure-robot-san-francisco/ )
A robot is now doing manicures in San Francisco!
A company named Clockwork says it has the world’s first nail painting robot, which paints nails in just 10 minutes.
The price? Just $8.
Right now, the robot doesn’t cut or shape nails, but the website hints those features could be coming soon.
TikTok user Elissa Maercklein posted a video of the robot with the caption “living in the future.”
The company behind the bot says they design robots that “liberate people from everyday mundane tasks.”
"Mechatronics Degree Program Growing at UT Chattanooga
Mechatronics, an interdisciplinary field combining robotics with electrical and mechanical engineering, is an in-demand field for engineers and a burgeoning program at the University of Tennessee Chattanooga.
by Dave Flessner, Chattanooga Times Free Press, Tenn. / April 1, 2021 (TNS) — Kalen Berry began his collegiate training at Tennessee Technology University studying to become an electrical engineer, but after an internship with Logan Aluminum, the Knoxville native also got interested in mechanical engineering and working with computers to make machines and robots do more tasks.Berry's diverse engineering interests came together in the study of mechatronics at the University of Tennessee at Chattanooga, which began offering as a bachelor's in applied science degree two years ago.
"When I heard about what was going on at UTC, I jumped at the chance to come here and it was a great opportunity to use all of the engineering skills and fields I was interested in and it was great to be able to do that in much more personalized program," said Berry, who graduated as one of the first UTC graduates of the mechatronics engineering program last December.
In July, the 25-year-old Chattanooga engineer will join Thermo Fisher Scientific where he hopes to advance into engineering and managements jobs in the growing field of robots, artificial intelligence and other machine-based disciplines.
"Mechatronics is really key to the new applied technologies we're seeing in manufacturing, medicine, the automotive industry and many other businesses and there are a lot of exciting opportunities," said Berry, who likens the field to a swiss army knife capable of many diverse uses. "I was able at UTC to work on two published academic articles and also start a student mechatronics club while at UTC. I think there is a huge potential for more growth here and to do it in an environment where you are regarded as much more than just another number or another student."
As demand for mechatronics talent continues to grow, UTC's engineering school became only the second four-year degree program in Tennessee to offer a mechatronic engineering specialty. Ahad Nasab, head of the Department of Engineering Management and Technology, brought the program to UTC after creating the state's first four-year program in mechatronics engineering at Middle Tennessee State University, starting in 2013..."
Read the full article at its source: https://www.govtech.com/education/higher-ed/Mechatronics-Degree-Program-Growing-at-UT-Chattanooga.html?utm_term=READ%20MORE&utm_campaign=Mechatronics%20Degree%20Program%20Growing%20at%20UT%20Chattanooga&utm_content=email&utm_source=Act-On+Software&utm_medium=email

Meet the Choreographer Behind Those Dancing Robots
"With just a few days left in 2020, renowned robotics company Boston Dynamics released a music video that featured a variety of two-legged, four-legged and wheeled robots dancing to The Contours' "Do You Love Me." The piece swiftly went viral, and has since been viewed nearly 30 million times. The choreography is, in short, bonkers, and uncannily illustrates the dexterity, balance and coordination of Boston Dynamics' designs.
As is typical of corporate marketing, however, no individual makers were credited, leaving folks in the dance community to wonder, who choreographed that? I dug through discussions of the project on Reddit and Twitter, learned the choreographer is Monica Thomas, and reached out to her immediately to learn more.
Can you tell us a bit about your personal dance history?Yes! I was trained in the Cecchetti method, and I remained committed to ballet through high school although I took modern, jazz and tap classes along the way. In college, I began choreographing on my own and with others. In my senior year two friends—Theresa Madaus and Tara King—and I decided to make a "joke" dance. This collaboration turned out to be really significant: After college, we formed Mad King Thomas, and have made dances, installations and films together for over 10 years.
Before you started working with Boston Dynamics, were you familiar with their work?I have a strong memory of seeing BigDog being pushed over and refind its balance, and slipping on ice but staying upright. It has stuck with me for years. I became familiar with Boston Dynamics when I moved back East, and was involved in the Uptown Spot project.
Can you tell us a bit about your creative process with the robots and the technical team? How did you go from ideas to action?Marc Raibert, the founder of Boston Dynamics, who directed the video, sent a generous initial brief that gave me a lot of autonomy to come up with ideas. Early in the process I consulted with my long-term collaborators to flesh out conceptual and musical ideas. I would then bring these back to Marc. We ended up choosing "Do You Love Me?," which we both found appealing.
I spent time watching the robots move to get a sense of joint flexibility, etc. I then made a dance on my body to act out each part. I hired dancers to learn this choreography, which allowed it to be put together in one sequence for filming. I gave a video of the whole dance to Boston Dynamics, as well as each robot's part (except Handle—I tried to choreograph Handle using a hoverboard and mostly made myself nauseous)..."
Read the full article at its source: https://www.dancemagazine.com/boston-dynamics-dancing-robots-2651193214.html
From https://www.newsandtribune.com/
news/mission-to-mars-henryville-students-build-mars-rovers/article_b2905a4e-88df-11eb-ab26-5f74825e284f.html
By APRILE RICKERT
aprile.rickert@newsandtribune.com
"HENRYVILLE — NASA’s latest mission to Mars is providing a unique experience for Henryville High School students to learn about what it takes to make a rover successful on the red planet, which educators say they hope can help inspire students toward future careers.
Students in teacher Donna Gatza’s Biology classes are spending seven weeks of their 18-week semester on a series of projects related to the Mars rover Perseverance, which launched July 30 and landed Feb. 21 in the Jezero Crater on Mars. The mission’s aim is to seek signs of ancient life and collect rock and soil samples, potentially to take back to Earth.
“NASA has provided all kinds of incredible activities for the kids to learn hands-on, to be exposed to different careers, to be experienced to different things,” Gatza said. “Until this happened, how many people knew there was a thing called Astrobiology? It’s important to get the kids excited about something and out of their books.”
The lesson plans and activities have included students building their own rovers. Working in teams, they selected the size and type of materials (made from dried pasta) based on their budget, then designed and built the rovers using an app on their Chromebooks.
“[They] had to pick a launch system, there was budget in this and everything has a cost,” the teacher said. “So they had to design their entire mission based on what they had a budget for. And then there were some funky things like they missed a launch date, the government cut their funding — the things that really happen.”
Read the full article at its source: https://www.newsandtribune.com/news/mission-to-mars-henryville-students-build-mars-rovers/article_b2905a4e-88df-11eb-ab26-5f74825e284f.html
From EdSurge
https://www.edsurge.com/news/2021-01-26-how-leveraging-curiosity-may-keep-students-engaged-from-afar
Faith Bongiorno began her teaching career as an “art-on-the-cart” educator. But that changed one day when her son told her he wanted to participate in FIRSTⓇ LEGOⓇ League, a robotics program created through an alliance between FIRSTⓇ (For Inspiration and Recognition of Science and Technology) and LEGOⓇ Education. Curiosity piqued, she presented the program to her principal, worked to secure funding and stepped up to coach the after-school program.
Being one educator that engages 30 kids online effectively is a challenge.This newfound passion led Bongiorno to transition to teaching general technology in the classroom and, eventually, robotics. Now, she’s a full-time education implementation specialist for FIRST and still works closely with a number of robotics teams in her area, including some high school seniors who were on her original team nine years ago. And, just like other educators, she’s been working hard to keep kids in the program engaged and safe from afar.
Bongiorno spoke with us about her experience with FIRST, STEM education and navigating remote instruction—as both an educator and parent—during the COVID-19 pandemic.
EdSurge: What challenges are you seeing with remote learning?
Bongiorno: The
first is engagement. Being one educator that engages 30 kids online
effectively is a challenge. For the students, it’s a challenge to feel
comfortable and, as Brené Brown says, to be vulnerable and brave to step out into that arena...."
Read the rest of this article at its source: https://www.edsurge.com/news/2021-01-26-how-leveraging-curiosity-may-keep-students-engaged-from-afar

"How It's Done: Remote STEAM Learning with LEGO Education Bingo Boards
Educators and parents can support remote STEAM learning through LEGO Education Bingo Boards

Where: Lexington Public Schools, Lexington, MA
What: Creating LEGO Education Bingo Boards to help educators and parents teach STEAM at home
As schools across the country began to close in response to COVID-19, my first thought, like thousands of other teachers across the world, was, “How can I supplement my teaching so my students can continue to learn during these unusual times.” You see, I’m a middle school STEM teacher, which means I’m used to providing my students with hands-on, tactical projects. I’m used to pushing my students to build robots, having my students work in groups and build together. How was I going to continue pushing my students to get hands-on and think like an engineer while they were at home?
Not all students have access to computers, but it’s still important they continue to have hands-on projects, just like in the classroom, to keep them engaged and excited. I connected with our 6th grade math teacher to think through ways for educators –- and parents -– to continue teaching STEAM skills at home in a fun, interactive way.
Before schools closed, we just started using the new LEGO Education SPIKE Prime kits in our classroom to get students learning STEAM skills through hands-on learning. It was a great tool because it provided low-floor, high-ceiling tasks such as the Hopper Race, in which you design prototypes to find the most effective way to move a robot without wheels, to more difficult projects such as Design for Someone, in which students could stretch their STEAM skills by trying to solve real-world problems.
Read more: LEGO Education Spike Prime In-School Review from Tech & Learning I wanted to replicate the same hands-on and low-floor, high-ceiling experience for all my students -- and students around the world. Something that allows students feel confident in the projects they were completing at home.
When looking at the way SPIKE Prime lessons are set up, you’ll see that basic instructions are provided, but students are encouraged to use their creativity to make their own unique creations by placing the bricks differently or writing a different code. I wanted to bring that approach to remote STEAM learning, ..."
Read the full article at its source: https://www.techlearning.com/how-to/how-its-done-remote-steam-learning-with-lego-bingo-boards?utm_source=Selligent&utm_medium=email&utm_campaign=16780&utm_content=T%26L+Remote+Learning+4%2F17%2F20+&utm_term=1272672&m_i=_ybcXjkbG0le6X3CEbbRUm_FtkzAyJbTPF0a0rhKFfy5gHYJD80KVs3UcVKiCRb97Q78KS2RBW1cC3dmn3gLcaiON1unqNr__V&M_BT=810043649812








Study finds new technologies have created and upskilled jobs but disparities in education and investment may affect pace of change
The adoption of artificial intelligence (AI), robotics and automated equipment has an overall positive impact on jobs, new research has found, with more than three-quarters of firms reporting that use of the technology had created new roles within the company and the majority reporting that job quality had improved.
More than 1,000 UK firms were asked about their adoption of the new technologies during the past three years, in research by the Institute for the Future of Work (IFOW), Imperial College London and Warwick Business School. More than 860 confirmed they were using AI and other automated technology, with 78% of those companies reporting this had resulted directly in the creation of new jobs.
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Schools in Kumamoto have purchased two mechanical assistants to help children regain confidence in dealing with teachers and classmates
A city in Japan is tackling a rise in truancy with the help of a robot assistant that officials hope will encourage absentee children to attend classes remotely and eventually coax them back to school.
Two robots equipped with microphones, speakers and cameras are expected to appear in classrooms in November in Kumamoto, south-west Japan, according to the Mainichi Shimbun newspaper.
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There are better ways to support care home residents, such as improving conditions for staff, writes Chris Phillipson
Your report (‘It’s almost magical’: how robotic pets are helping UK care home residents, 1 September) made for depressing reading. Some 70% of residents in care homes do indeed have some form of dementia or severe memory problems. Evidence that they can be helped by interaction with robotic dogs, cats and seals is mixed, to say the least.
Much more important is creating an environment where staff work in conditions that allow them to provide the sort of support that can enable residents to reach their full potential. Yet adult social care workers are among the lowest-paid in the UK. Research suggests more than a quarter of residential care workers are living in, or close to, poverty. Overseas migrant labour is increasingly common in care homes, with use of exploitative sponsorship schemes.
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Animatronic cats and dogs have helped staff at a Bedfordshire care home to avoid medicating some residents with dementia
“You’re bloody lovely ain’t you,” said Frances Barrett, as the robotic cat she was stroking flicked its ears and whiskers one lunchtime this week at the Oak Manor care home in Bedfordshire.
The resident was one of several who live with dementia playing with the home’s small menagerie of animatronic animals that were originally designed to entertain American girls aged four to eight but have found a growing market in British care homes.
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The World Robot Conference 2023 has opened in China, aimed at promoting scientific and technological progress. The event is a forum for participants to network and seek resources for further innovation. There’s also the opportunity for ice-cream served by a robot
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Automated tills now take up much more space than those staffed by humans. We must resist!
I’ve wailed before about the proliferation of self-checkout machines. But I will do so again, because my mood darkens every time I visit my local big supermarket. I first honoured the place with my business about 20 years ago. Back then there were about two dozen staffed checkouts, in those days of innocence before the death march of progress gathered pace. A handful of self-checkouts appeared; a handful of human ones vanished. At first we saw them as harmless novelties. They were never all in operation, and those that were rarely worked properly. The whole caper seemed to involve as many staff supervising machines as could have been operating a battery of proper tills. But we indulged the management, bless them. They’ve got to try these things, haven’t they?
Then came more of them, and ever fewer human tills. A zero-sum game. It remained the case that some machines were out of action and the remainder invariably had a glitch in store for you. Only the other day I had a torrid time with some pitiful, dried-out geraniums on a three-for-£5 offer. They just wouldn’t scan. I got them for nothing in the end, but they all died anyway.
Adrian Chiles is a broadcaster, writer and Guardian columnist
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All aspects of artificial intelligence will get the comic treatment at this summer’s festival
A comedy show is probably not the first place to hear about a burning new issue, but standup routines have a habit of swiftly reflecting the worries of our times. This summer’s Edinburgh festival fringe lineup of acts has taken up the threat of artificial intelligence and run with it.
A string of performers at the month-long festival, which begins on 4 August, will either use the technology to generate a show or play with the fears prompted by the rapid surge in its use.
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Anthropic releases chatbot able to process large blocks of text and make judgments on what it is producing
A US artificial intelligence company has launched a rival chatbot to ChatGPT that can summarise novel-sized blocks of text and operates from a list of safety principles drawn from sources such as the Universal Declaration of Human Rights.
Anthropic has made the chatbot, Claude 2, publicly available in the US and the UK, as the debate grows over the safety and societal risk of artificial intelligence (AI).
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Developers should grasp the opportunity to address misogyny in society rather than entrench it, says Liz Jackson
Your article (Never underestimate a droid: robots gather at AI for Good summit in Geneva, 6 July) begins by listing four of the robot delegates that are attending the AI for Good summit – all four are “feminised robots” – and I remembered the thought I had when I saw Ai-Da perform poetry at the Ashmolean in Oxford in 2021: why does a robot need boobs?
Robotics and AI are fields undoubtedly occupied primarily by men and yet many robots, and AI assistants (think Siri, Alexa and so on) often take on a “feminised” form. Perhaps we are more comfortable telling a feminised voice to do things for us.
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Conservatives | Banksy v Jenrick | Weak government | Turtles | Robots | Lord’s Prayer
The TaxPayers’ Alliance’s claim that it does not reveal its donors because many people do not like to talk about or broadcast their political views is reminiscent of the old Flanders and Swann line “We don’t have politics round here, we’re all Conservatives” (Rightwing lobby group campaigns to undermine UK four-day week, 7 July).
Geoff Reid
Bradford
• Wouldn’t it be grand if a Banksy were to suddenly appear celebrating Honest Bob Jenrick’s caring attitude towards all children – refugee and migrant kids excepted (Robert Jenrick has cartoon murals painted over at children’s asylum centre, 7 July).
WA Gulam
Manchester

Humanoid robots speak – with some awkward pauses – in ‘world first’ press conference at Geneva AI summit
Robots have no plans to steal the jobs of humans or rebel against their creators, but would like to make the world their playground, nine of the most advanced humanoid robots have told an artificial intelligence summit in Geneva.
In what was described as “the world’s first human-robot press conference”, one robot, Sophia, said humanoid robots had the potential to lead with “a greater level of efficiency and effectiveness than human leaders” but that “effective synergy” came when humans and AI worked together. “AI can provide unbiased data while humans can provide the emotional intelligence and creativity to make the best decisions. Together, we can achieve great things,” it said.
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Ai-da, Desdemona, Nadine and Geminoid join world’s largest gathering of humanoids to promote AI as force for good
Grace is a nursing assistant, Ai-da a contemporary artist, Desdemona a purple-haired rock singer and Nadine is on hand for companionship and conversation.
They are all at the world’s largest gathering of humanoid robots, which is under way at the United Nations AI for Good global summit in Geneva.
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Ideas for improving standards of care include robotics, more time for GP consultations and a tax on salt
As the NHS turns 75, it is under unprecedented pressure: record waiting lists, demand for care and delays in discharging patients who are well enough to go home are putting all parts of the health service under immense strain. Sickness absence is at record levels, while nearly 170,000 NHS workers in England quit their jobs last year. Recent strikes by nurses, ambulance staff and junior doctors, coupled with the historic decision by consultants and radiographers to strike, too, show the depth of anger. Five experts spell out what’s needed to make the health service thrive again.
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Rapid developments in AI are forcing managers and politicians alike to confront profound questions about the future of jobs
With a low electrical hum, a small team of boxy, wheeled robots called “ants” criss-cross the top of a giant 3D grid of grey storage crates – 60,000 of them - ceaselessly arranging and rearranging them to order.
Down on the warehouse floor, flat-topped “ranger” robots ferry cardboard packing boxes around. Just one man, jokingly known as the robot whisperer, walks among them with a laptop.
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Robots that can assist caregivers have been talked up as being transformative. But some researchers fear such technology could take more than it gives
Ingrid’s 22-year-old son Tom doesn’t understand danger. He cannot leave the house by himself because he does not know that cars may kill him and, in winter, he forgets to wear enough clothes to stay warm. He was born with Down’s syndrome and Ingrid says that “he’s calm and shy and really polite, but he needs help with everything”.
Ingrid is one of millions of people caring for a loved one at home today. In the UK, “family caregivers” constitute about 9% of the population and they outstrip paid care workers by more than three to one. This is because most care continues to be carried out in people’s homes, rather than in residential facilities or by paid workers in the community. For this oft-overlooked army of supporters, it’s a difficult life. According to an annual survey of family caregivers in the UK, 45% had been providing support for 90 hours or more each week, and a similar proportion had not taken a break from caring in the past year. Caregivers consistently report lost income, higher than average rates of depression and anxiety, lack of time to rest, exercise or socialise, or to attend their own medical appointments – to do much of anything for themselves, really.
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Scientists are warning machine learning will soon outsmart humans – maybe it’s time for us to take note
Last Monday an eminent, elderly British scientist lobbed a grenade into the febrile anthill of researchers and corporations currently obsessed with artificial intelligence or AI (aka, for the most part, a technology called machine learning). The scientist was Geoffrey Hinton, and the bombshell was the news that he was leaving Google, where he had been doing great work on machine learning for the last 10 years, because he wanted to be free to express his fears about where the technology he had played a seminal role in founding was heading.
To say that this was big news would be an epic understatement. The tech industry is a huge, excitable beast that is occasionally prone to outbreaks of “irrational exuberance”, ie madness. One recent bout of it involved cryptocurrencies and a vision of the future of the internet called “Web3”, which an astute young blogger and critic, Molly White, memorably describes as “an enormous grift that’s pouring lighter fluid on our already smoldering planet”.
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Robots praised by New York mayor for searching ruins of a parking garage collapse, but critics fear robots will collect private data
“Digidog is out of the pound,” Eric Adams declared in April. The New York City mayor also insisted the successful use of the controversial robot in response to a recent building collapse should convince critics such devices can improve safety in the city.
Adams commended first responders’ use of the four-legged robot in the ruins of a parking garage collapse last week in Manhattan, in which one person was killed and five injured.
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Morning, noon and night, it’s there, whirring and whirling around. It’s so industrious I feel simultaneously scared and shamed
In domestic news, an issue has arisen with the robot vacuum cleaner. Our noisy old one annoyed me so much, bashing repeatedly into the skirting and swallowing rug tassels in confusion, that I stamped violently on its off button every time I caught it trying to do its job.
The new one is less relentlessly stupid, but just as loud, and since my husband programmed it, it appears to always be on. It lurches out at 10am and is still roaring around when I come downstairs, hours later. After a brief hiatus, it re-emerges in the afternoon. It’s so noisily industrious, I feel simultaneously enervated and shamed by its productivity. Let me stare at the internet in peace, robot!
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Boston Dynamics’ canine automatons steal show in Paris as maison stages modern fable, designers say
Welcome to the age of the super-robot.
With their impossible proportions, thousand-yard stares and supernatural ability to walk in 5in heels, catwalk models often appear a different species to regular humans.
But it was the models, including Kate Moss’s daughter Lila, who played the role of vulnerable, flesh and blood creatures at the Coperni fashion show in Paris, where they shared the stage with five robots.
Coperni partnered with Boston Dynamics for the first fashion show in which robots, rather than models, were the star turn.
As the lights went down, four pairs of green eyes began to flash in the darkness. When the “Spots” – Boston Dynamic’s robot canines, in tarantula stripes of yellow and black – stalked into the room, there was an audible collective intake of breath as each creature seemed to lock eyes with, and approach, an audience member.

Extra parts, from a thumb to an arm, could be designed to help boost our capabilities
Whether it is managing childcare, operating on a patient or cooking a Sunday dinner, there are many occasions when an extra pair of arms would come in, well, handy.
Now researchers say such human augmentation could be on the horizon, suggesting additional robotic body parts could be designed to boost our capabilities.
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Both Arduino and Raspberry Pi have become fundamental building blocks to handle digital information for everyone from the home hobbyist to professional designers of electronic interfaces. Despite any perceived similarities, they are really two very different products developed for very...
The post What is Arduino and Raspberry Pi? appeared first on ServoDriven.

As if Elon Musk didn’t have enough to keep him busy, he has now entered the Humanoid Robot game with a model which has been dubbed Optimus (sound familiar?). Not one to attach himself to low impact projects, Musk, muses...
The post A BRAVE NEW ROBOTIC WORLD DYSTOPIA OR UTOPIA? appeared first on ServoDriven.

For those of you that are not familiar with Robotis, it has been building a following for decades centered around increasingly refined servomotor designs. Trade named Dynamixel servos are the engines that control robotic motion. The Dynamixel servo is a...
The post ROBOTIS IS BRINGING THE FUTURE IN FOCUS appeared first on ServoDriven.

This is our first review of a custom-built fighting robot, and it is containing an impressive collection of design features and performance. This is the T5 Hammerhead fighting robot. It is big and packs a punch. Standing 19.3 inches (490mm)...
The post THE DEADLY T5 HAMMERHEAD SHARK ROBOT appeared first on ServoDriven.

from Robosen licensed by Hasbro You’ve watched six Transformer movies since the first one came out in 2007 and watched the fight for humankind as Autobots and Decepticons battle for dominance. Under the leadership of Optimus Prime the Autobots protect...
The post FLAGSHIP OPTIMUS PRIME appeared first on ServoDriven.

WHAT’S ROBOTIS UP TO NOW? Here’s an update on Robotis, the south Korean manufacturer known mostly for their precision servos designed for robots and also their compete robotics kits. They continue to push the envelope in both directions: both low...
The post Powered by DYNAMIXEL Servos appeared first on ServoDriven.

Boston Dynamics is one of the premier humanoid robot research companies in the world. It started in 1992 building 3D flight simulators for pilot training. By 2005, they had moved on to introduce their first autonomous robot known as “Big...
The post THE STANDARD FOR ROBOT MOBILITY appeared first on ServoDriven.

Upgrade the Robotis MAX-E1 to MAX-E2 and Double the Action! If you’ve been looking for a serious humanoid battle Bot, then you don’t have to look any further than the Robotis Engineer Kit 2 (MAX-E2). This is an upgrade kit...
The post ROBOTIS MAX-E2 Kit appeared first on ServoDriven.

In this age of advancing automation, software, and robotics the burning question is, “Will the workforce of humans eventually be replaced by robots?” And by robots, it’s understood to mean some form of automation and/or software – not necessarily a...
The post Robots ate my lunch appeared first on ServoDriven.

We recently built the 3d printable fighting robot by Matt Cho. Programming was a lot easier than expected and we would like to share our experience in this article. Set Up First, you would need to print off all of...
The post Programming the 3d Printable Fighting Robot appeared first on ServoDriven.
Robots are trained to help revive coral reefs
Coral restoration efforts usually involve transplanting tiny corals, cultivated in nurseries, on to damaged reefs.
However the work can be slow and costly, and only a fraction of the reefs at risk are getting help.
In the shallow waters of the Abrolhos Islands, [Marine biologist Taryn Foster] is testing a system she hopes will revive reefs more quickly…
It involves grafting coral fragments into small plugs, which are inserted into a moulded base. Those bases are then placed in batches on the seabed….
Ms Foster has formed a start-up firm called Coral Maker and hopes that a partnership with San Francisco-based engineering software firm Autodesk will accelerate the process further.
Their researchers have been training an artificial intelligence to control collaborative robots (cobots), which work closely alongside humans.
“Some of these processes in coral propagation are just repetitive pick and place tasks, and they’re ideally suited to robotic automation,” says Ms Foster.
A robotic arm can graft or glue coral fragments to the seed plugs. Another places them in the base, using vision systems to make decisions about how to grab it.
“Every piece of coral is different, even within the same species, so the robots need to recognise coral fragments and how to handle them,” says Nic Carey, senior principal research scientist at Autodesk.
“So far, they’re very good at handling the variability in coral shapes.”
You might think that I’m joking when I say that we need cyborg rights to be codified into law, but I honestly think that, given the pace of development of medical implants and the rights issues raised by having proprietary technologies becoming part of a human body, I think that this is absolutely essential for bodily autonomy, disability rights, and human rights more generally. This has already become an issue, and it will only become a larger issue moving forwards.
No but seriously we need cyborg rights, in case you don’t know how many people count as cyborgs here are some examples;
People with cochlear implants are cyborgsPeople with pacemakers are cyborgsPeople with insulin pumps are cyborgsThere are even edge cases revolving around how much electricity and integration into the body are necessary to make someone a cyborg.
People with replacement hips or other bones are by some definitions cyborgsPeople with implanted medical devices such as artificial valves or stents are by some definitions cyborgsPeople with prosthetic limbs are by some definitions cyborgsPeople with ostomy bags are by some definitions cyborgsPeople in wheel chairs, electric or not, are by some definitions cyborgsThe list could go on but I think I made my point that cyborgs are a lot more than just people with robot arms, they are the disabled deserving of the rights to the technology their lives literally depend on.
This is needed.
Earlier this year, a woman was forcibly deprived of a brain implant that was treating her epilepsy because the company that made the implant went bankrupt. Here’s a link to one of several articles about it:
Doctors Forced To Remove Patient’s Brain Implant After The Maker Went Bust
This story happened back in the 2010s according to the first article but is still relevant. Also if my cochlears were repossessed by the company for some asinine reason I would literally stop being able to do 80% of the things I do and my future would be ruined. Cyborg rights are necessary and should have been codified decades ago
Their Bionic Eyes Are Now Obsolete and Unsupported
This was in 2020, and the patients weren’t even informed of it - one day their eyes just stopped working because the company that made them went out of business.
jaggedwolf said: can’t say this and not link/say which one it is
the original “turing test” paper is so beautiful. more beautiful, i imagine, than most expect going in—he’s got this underlying warm humanism and gentle humor throughout. (it’s present even in his more technical papers, but it shines here)
and the section that slays me each time is this:
“It will not be possible to apply exactly the same teaching process to the machine as to a normal child. It will not, for instance, be provided with legs, so that it could not be asked to go out and fill the coal scuttle. Possibly it might not have eyes. But however well these deficiencies might be overcome by clever engineering, one could not send the creature to school without the other children making excessive fun of it […]”
like. this is the original “turing test” paper. this is the first dude to formally conceptualize the whole “~*~what if computers learn to think, how could we tell~*~” thing. which, in subsequent SF invocations, is used mostly in spooky or paranoid contexts: the Voigt-Kampff test of Blade Runner, the preemptive rushes to constrain that budding will in I, Robot and others, and in modern worries over AGI. and i like those stories! they’re interesting and cool and eerie!
but
but
the original guy was not scared or unsettled or spooked by the prospect of new minds. this dude’s primary concern, when facing the dawn of artificial intelligence, was instead: “what if we teach computers to think and then the other kids on the playground bully the computer, that would be so mean :(((”
i love that, so much. i love people so much, sighs into hands
This is an example of why I am so protective of Turing’s memory.





Commander Robot (AKA Ralph Roger Robot) by David Coleman (1969). This 7-foot 4, aluminium and plexiglass ice-skating robot featured in the “Ice Capades” and “Ice Follies”. It contains some 50 pounds of batteries, servos, a tape recorder, flashing blue eyes and glowing red tubes, with two motors to drive sprockets that bite into the ice and make it move. Coleman was inspired to build his robot while repairing props backstage for the Ice Follies where he once skated. Coleman told the producers, “I’m going to build a robot.”



TORTIS (Toddler’s Own Recursive Turtle Interpreter System) by Radia Perlman (1974), MIT. TORTIS is a device that lets pre-school children communicate with and program a robot turtle. It has three button boxes, designed so that key concepts can be introduced gradually. The first box has buttons for simple turtle actions, ‘forward’, 'back’, 'right’, 'lift’, 'toot’, 'penup’, 'pendown’, 'light on’, and 'light off.’ A 'commands box’ has the same nine buttons, with an additional row of numbers 1 to 10; pressing a number before the action button, repeats the action that many times. A third 'memory box’ can be plugged in, that stores and recalls sequences of actions. Perlman went on to invent the Spanning Tree Protocol (STP), that allows Ethernet networks to transport data while avoiding loops, a development that was key to the growth of the internet.
Awesome!



Robotron by Donald Rich (1957), Kew Gardens, Queens, New York. Here we see 14 year old Donald with his creation at the International Gadget & Invention show at Madison Square Garden (second photo). Robotron, “is capable of ‘seeing’ with his electronic eyes and of 'sensing the presence of a human being, can pick up objects manually or magnetically and moves about on wheels powered by electric motors. Donald holds a computer he designed to fit the robot like a vest, enabling Robetron to do mathematical calculations” – Corpus Christi Times, Friday 9th August, 1957.


Happy Spherical Robot Head Reflection Saturday! Here’s Katsuhiro Otomo’s homage to the classic MC Escher artwork.






LEMUR IIb – Limbed Excursion Mechanical Utility Robots, Brett Kennedy et al (2006), Jet Propulsion Laboratory, Pasadena, CA. This version of LEMUR is being used to investigate climbing, with potential applications including search-and-rescue, surveillance, personal assistance, and planetary exploration. It can climb slopes, and even vertical faces and overhangs, such as the climbing wall pictured. While climbing, it always tries to maintain either three or four supporting holds, using its four arms. One innovation is a new Ultrasonic drill (USDC) end-effector capable of creating holds in rock and soil as well as taking samples. In 2013, LEMUR IIb received a major upgrade with an amazing set of microspine grippers that allows inverted free-climbing.
That’s just awesome!
“can a robot even have mental illnesses” they are allowed to have whatever they want. don’t be fucking rude
robots can have mental illnesses we can’t even conceive of - like shrimp colors



Stickybot by MarkCutkosky (2006), Center for Design Research, Stanford University, CA. Stickybot explores mobility on vertical surfaces using dry adhesion. The adhesion comes from van der Waals forces which don’t leave a sticky trail. Each of its sixteen toes has a synthetic adhesive patch with microscopic Directional Polymer Stalks that give it climbing abilities similar to those of a real gecko. These provide a strong shear force for climbing, but can be easily peeled off by a toe-curling action.
Chess robot grabs and breaks finger of seven-year-old opponent
Here’s a link to an article that covers the story and isn’t behind a paywall:
Chess robot grabs and breaks finger of seven-year-old opponent | Chess | The Guardian
I feel like I really need some context for this video.
I keep imagining that it is covering itself out of some sense of embarrassment.



WebCrawler V2 – “Spiderbot” by Robert Hogg et al (2003), Jet Propulsion Laboratory, Pasadena, CA. This second version of the Micro-Robot Explorer (MRE) has six legs, each having two spring-compliant joints and a gripping actuator with force-feedback. A hard-coded set of gaits enables it to move smoothly along a mesh structure. The objective is to create a Spiderbot that can traverse a flexible, deployable mesh, for use in space repairs.

Im Very Pleased to share this website my partner directed me to. You’re interested in retro techand/or robotics, The Old Robots is a unique and surprisingly thorough archive of all sorts of real robots from as early as the 1940’s to as late as the 2000’s. I especially love the dated nature of its aesthetics. But, seriously- there’s pages and pages worth of these robots. Many robots also include videos embedded in the site to show them in action.


An excellent resource for those interested in robotics, the history of robots, robotic toys, or just goofs like me that love to see little funny hard metal and plastic fellas.
This site has been around for a long time, I remember using it when I was in high school to learn about robots. He’s added onto it since then, which is cool.



Big Wheels by Jack Jones (1999), Jet Propulsion Laboratory, Pasadena, CA. The JPL Inflatable Rover Program is focused on inflatable vehicles for increased speed and range, enabling robotic outpost development on distant worlds. ’Big Wheels’ has two large 1.5m diameter rear-drive balloon wheels, with a forward steering wheel the same size, and is topped by an inflatable solar array. “We sent this rover out to Death Valley, to a place called Mars Hill that has a general geological formation like Mars, and nothing could stop it,” says Jack Jones (pictured), “It just kept going and going and going.” The large balloon wheels absorb impacts with smaller rocks, and provide a large surface area to climb over larger rocks. The Big Wheels rover would only need to steer around larger boulders, “Why worry about every little rock, pebble, and crack when you can just roll right over most of them?”
Acquisition to accelerate Rockwell’s end-to-end autonomous production logistics solutions, providing safer, more efficient manufacturing environments for customers MILWAUKEE – Rockwell Automation, Inc. (NYSE: ROK), the world’s largest company dedicated to industrial automation and digital transformation, today announced it has signed a definitive agreement to acquire Ontario, Canada-based Clearpath Robotics Inc., a leader in autonomous […]
The post Rockwell Automation signs agreement to acquire autonomous robotics leader Clearpath Robotics appeared first on Clearpath Robotics.
The post Journey Through Time: Jackal UGV Explores the Depths of Pietro Micca Museum appeared first on Clearpath Robotics.
The post Washington State University Utilizes Warthog to Improve Nitrogen Management in Orchards appeared first on Clearpath Robotics.
The post Exploring Human Robot Interaction: Ridgeback Optimizes Lab Operations appeared first on Clearpath Robotics.
The post Clearpath Robotics and Fresh Consulting Join Forces to Enhance Mobile Manipulation appeared first on Clearpath Robotics.

The adoption of robotics and automation systems for inspection, maintenance and repair of facilities is becoming more prevalent. The application is especially valuable when used in inspection of net zero energy generation infrastructure. As the world faces a climate change crisis, it is imperative that industries move towards achieving net zero emissions. There are many […]
The post University of Glasgow Develops a Cyber Physical Architecture for Symbiotic Multi-Robot Fleet Autonomy appeared first on Clearpath Robotics.

Precision plant phenotyping is an essential practice for breeders to make informed decisions to meet the demands of modern agriculture and to contribute to resilient and sustainable crop production. Decades of extensive research has resulted in the establishment of genetic resources for upland cotton, a globally significant crop that holds tremendous economic importance. With a […]
The post University of Texas at Arlington Employs Husky UGV for Automated Plant Phenotyping appeared first on Clearpath Robotics.

We are happy to announce that TurtleBot 4 now supports ROS 2 Humble. TurtleBot 4, the latest iteration in the TurtleBot series, is an open source, compact and affordable platform designed to facilitate education, development and research in robotics. It is popular for its ease of use, versatility and extensive support from the ROS community. […]
The post TurtleBot 4 Now Supports ROS 2 Humble appeared first on Clearpath Robotics.

In March of 2023, Clearpath Robotics announced Husky Observer™; an all-terrain, rugged robot with an integrated payload for inspection. We are thrilled to launch Husky Observer at ICRA this year. The new robotic system combines Husky™, a popular and versatile robot from Clearpath Robotics with OutdoorNav Autonomy Software™; a software platform that enables autonomous navigation […]
The post Clearpath Robotics to Launch Husky Observer at ICRA 2023 appeared first on Clearpath Robotics.
The post Mississippi State University Advances Livestock Management with Automated Herding Systems appeared first on Clearpath Robotics.


The Robotics Startup Boot Camp at RoboBusiness will provide “tips of the trade” around the challenges that can make or break a startup.
The post Robotics Startup Bootcamp at RoboBusiness appeared first on Collaborative Robotics Trends.
Interact Analysis expects the mobile robot market to reach an installed base of over 4 million mobile robots by the end of 2027.
The post Learn the fundamentals of designing AMRs at RoboBusiness appeared first on Collaborative Robotics Trends.
The Florida manufacturer of exhaust parts has increased weld speed tenfold, lower lead times, and improve quality using its new cobot colleague
The post Cobot Welder delivers 10x production boost at DeAngelo Marine Exhaust appeared first on Collaborative Robotics Trends.
This new facility will increase ABB's manufacturing capacity for its collaborative and industrial robot arms by 50% and enable it to better serve the European market.
The post ABB spending $280M on European robotics hub appeared first on Collaborative Robotics Trends.
ReAutomated: The virtual experience will focus on three applications within industrial automation: welding, machine tending and palletizing.
The post Universal Robots launches ‘ReAutomated’ virtual events to boost cobot education appeared first on Collaborative Robotics Trends.
Robotiq's PE20 comes with a payload capacity of 18 kg (40 lb) and stacking heights of up to 2150 mm (84 in).
The post Robotiq introduces PE20 palletizing system appeared first on Collaborative Robotics Trends.
Universal Robots' UR20 cobot is debuting its welding abilities with Vectis Automation, Hirebotics, and Melton Machine & Control Company.
The post Universal Robots debuts UR20’s welding abilities appeared first on Collaborative Robotics Trends.
RoboBusiness will feature an interview with Hani Abouhalka, the Company Group Chairman of Robotics & Digital Surgery at Johnson & Johnson MedTech.
The post RoboBusiness: Shaping the future of surgery appeared first on Collaborative Robotics Trends.
The partnership includes a memorandum of understanding for Doosan Robotics to use Microsoft's Azure OpenAI Service for a GPT-based robot control system.
The post Doosan, Microsoft plan to build GPT-based robots appeared first on Collaborative Robotics Trends.
Since 2016, Universal Robots has offered robotics training to customers and others with an interest in collaborative robots.
The post Universal Robots Academy has taught over 200,000 students appeared first on Collaborative Robotics Trends.
Thursday, September, 7 2023 2:00 PM EST Packaging and palletizing are end-of-line tasks found in almost all production facilities. Automating these processes with a reliable and efficient system is crucial to any business’ continuity – and scaling up your systems with modular hardware and plug-and-play software is a must-have as your business grows. Tune into […]
The post Optimizing your factory floor: integrating Universal Robots, Vention to create turnkey solutions appeared first on Collaborative Robotics Trends.
Generative AI is revolutionizing the software industry, but how can this breakthrough be applied to robotics?
The post RoboBusiness: Generative AI’s impact on robotics appeared first on Collaborative Robotics Trends.
Why is simply considering the sensitivity of a safety function insufficient to assess the level of safety provided?
The post The dual aspects of robot safety appeared first on Collaborative Robotics Trends.
With welding jobs being crucial for communities across the world, demand for welders is only set to grow over the next decade.
The post How collaborative robots are changing the ancient art of welding appeared first on Collaborative Robotics Trends.
Buy your early bird pass for RoboBusiness in Santa Clara on October 18-19 now and save $300 on full conference registration.
The post RoboBusiness early bird pricing ends August 18 appeared first on Collaborative Robotics Trends.
Dexterity, Inc. unveiled the 3.0 release of its Palletizing and Depalletizing software aimed at unlocking pallet operations in the warehouse.
The post Dexterity upgrades palletizing and depalletizing software appeared first on Collaborative Robotics Trends.
DoBot Robotics has signed a Letter of Intent with VenHub, a company developing a modular retail platform built on expendable containers.
The post DoBot Robotics signs letter of intent with VenHub appeared first on Collaborative Robotics Trends.
The 2023 RoboBusiness Pitchfire startup pitch competition is now open for submissions of participants.
The post RoboBusiness Pitchfire competition call for robotics startups appeared first on Collaborative Robotics Trends.
Taking a regional perspective on the components in the industrial robots market, Japan is currently the largest market, but China will catch up by 2027 in terms of revenue.
The post Industrial robot components market worth more than $18B by 2027 appeared first on Collaborative Robotics Trends.
Teradyne named Ujjwal Kumar, whose 25-year career has spanned multiple companies and industries, as the Group President of Teradyne Robotics.
The post Teradyne names Ujjwal Kumar robotics group president appeared first on Collaborative Robotics Trends.
By 2029, the worldwide market for industrial robots is expected to be worth $35.68 billion, up from an estimated $16.78 billion in 2022, growing at a CAGR of 11.4%. Amid this rapid growth, collaborative robots or ‘cobots’ are making a significant mark in various industries, most prominently in manufacturing. They offer unparalleled agility, precision, and […]
The post Robotic Arms in Manufacturing: How Cobots are Revolutionizing Material Handling appeared first on Techman Robot.
What Is a Cobot? In today’s rapidly evolving technological landscape, businesses constantly seek innovative solutions to enhance productivity and efficiency. One breakthrough in the automation field is the creation of collaborative robots, commonly known as cobots. Unlike traditional automation methods that often require complex and costly setups, cobots offer a modernized and human-friendly approach to […]
The post How to Choose the Right AI Cobots for Your Business Needs? appeared first on Techman Robot.
What Is AOI (Automated Optical Inspection)? Automated Optical Inspection, commonly known as AOI, is a machine-based inspection technology that enables the detection of defects and flaws in various production processes, including PCB and electronics manufacturing, automotive, medical, and aerospace industries. AOI machines, on the other hand, use advanced computer vision algorithms and diverse lighting techniques […]
The post Introducing AOI Applications in PCB Manufacturing appeared first on Techman Robot.
What is Machine Vision? Machine vision is an AI technology that enables machines to quickly recognize and analyze visual data with high accuracy. It allows industrial equipment to “see” what it is doing and make immediate and informed decisions based on what it observes. The increased efficiency and product quality it provides has made it […]
The post A Quick Guide on How Machine Vision Works appeared first on Techman Robot.
The rise of collaborative robots, also known as cobots, has revolutionized modern industrial settings. Cobots are robots that work alongside humans to enhance efficiency, safety, and flexibility. They are equipped with sensors and artificial intelligence (AI) capabilities that enable them to perform dangerous, tedious, or repetitive tasks. Cobots have become an indispensable part of logistics, […]
The post How Cobots and Humans Are Working Together in Logistics appeared first on Techman Robot.
In the latest installment of our conversation series, we get to know Kenneth Ramah, one of the core members of our dedicated team. Sharing more of the heartbeat behind our operations and what makes our team thrive, we delve into Kenn’s role within the organization, his journey to get where he is, and the shape […]
The post In Conversation with… Kenneth Ramah, WeRobotics Coordinator & Tech Support appeared first on WeRobotics Blog.
In 2020, we published our first blog post on “what goes on behind the scenes” of co-creating a Network that effectively localizes emerging technologies such as drones sustainably and responsibly, with a locally-driven, bottom-up approach. In 2021, we built upon this blog post by publicly sharing our key activities and roles on our website. In 2022, we followed […]
The post What Goes on Behind the Scenes… An Update appeared first on WeRobotics Blog.
One of the most frequently asked questions about the Flying Labs Network is, “How many Flying Labs are there in the Network?” This is an essential question as the actual size of the Network influences its growth on multiple levels, such as local representation, diversity of experiences and approaches, and collective learning, to name a […]
The post Turning a Growing Network Into a Thriving Network appeared first on WeRobotics Blog.
The story of WeRobotics is not just about a workplace; it is about our dreams coming true, transforming lives, and filling hearts with hope. Each of us finds our purpose, passion, and joy in participating in this incredible organization. Once upon a time, there was a shy little girl named Uyangaa in Mongolia. She grew up during […]
The post Meet the WeRobotics Core Team of Doers & Dreamers appeared first on WeRobotics Blog.
In a webinar organized by WeRobotics on Thursday, March 16, 2023, the stage was set to showcase the transformative potential of drones in two critical areas: unexploded ordnance (UXO) clearance and methane detection. Speakers from SPH Engineering and Senegal Flying Labs unveiled groundbreaking insights from their collaborative methane detection project conducted in Senegal, a remarkable initiative supported by the […]
The post Using Drones for Clearance of Unexploded Ordnance (UXO) and Methane Detection appeared first on WeRobotics Blog.
We recently had the opportunity to talk with Dr. Zaki Hussein, the CEO & Founder of Touchlab, the award-winning startup that exists to solve the great challenge of touch in robotics, and specialises in electronic skin (e-skin) and teleoperated avatar technology. During our interview, we asked more about the mission and founding of the company,
The post Zaki Hussein talks founding Touchlab and pioneering work fitting TIAGo robot with e-skin to work in hospitals appeared first on PAL Robotics Blog.
In today's commercial landscape, efficient inventory management stands as a cornerstone for success. It's not just about keeping track of products; it's a strategic practice that involves careful planning, monitoring, and control to ensure optimal resource utilisation, meeting customer demand, and minimising costs and risks. This practice is essential for controlling expenses, optimising cash flow,
The post Managing data centre operations with RFID inventory tracking appeared first on PAL Robotics Blog.
In a world where technological advancement is reshaping industry, healthcare stands at the forefront of transformation, as the integration of social robots in healthcare has the potential to enhance patient care and support the overburdened healthcare system. We had the opportunity to interview Dr. Séverin Lemaignan and Dr. Raquel Ros, both experts in social robotics,
The post Exploring the potential and challenges of social robots in healthcare appeared first on PAL Robotics Blog.
At PAL Robotics we are happy to announce in the ever-evolving landscape of robotics the launch of the Advanced Grasping Premium Software designed exclusively for the mobile manipulators TIAGo and TIAGo++. This Premium cutting-edge software package is set to enhance the capabilities of manipulation in robotics. From intricate research endeavors to competitive robotics competitions and
The post Advanced Grasping Premium Software Package now available for TIAGo and TIAGo++ appeared first on PAL Robotics Blog.
In today's retail industry, efficient inventory management is crucial for the success of any business. Retailers often face numerous challenges in this regard, including inaccuracies in stock information, difficulties in locating products, out-of-stock situations, and misplacements. These issues can result in customer dissatisfaction, lost sales, and inefficient operations. To overcome these challenges, we have developed
The post StockBot: empowering retail excellence through advanced inventory management appeared first on PAL Robotics Blog.


The U.S. Energy Information Administration (EIA) reported that hydropower was responsible for 6.2% of the United States' total electricity production and approximately 28.7% of the total for renewable energy generation in 2022. Renewables provide about 20% of the country’s electricity, and this number is projected to increase over the next few years.
This article covers the basics of hydropower, explaining how it is generated and the role of penstocks – one of the most important components of hydropower systems. It also discusses how modern nondestructive testing technologies can help ensure these critical structures operate efficiently and reliably as the demand for renewable energy grows.


Digital transformation continues to gain traction across numerous business sectors. In 2022, companies invested nearly$2 trillion in digital transformation technologies. By 2026, it is expected to reach $3.4 trillion. While digital transformation has been embraced for certain industrial segments - like rotating equipment - fixed equipment has been left behind.
Why are so many companies investing in Industry 4.0 technologies? When done right, it is lightning in a bottle. Improvements to safety, uptime, and throughput accelerate the winners to the front of the pack faster than ever.
The payoff from digital transformation can be significant, but the success rate is shockingly low. Forbes reported that the risk of digital transformation failure falls between 70% and 95%.
As you start your digital transformation journey, this blog will guide you through four steps to beat the odds and explain the critical element most strategies are missing.


You’ve seen the signs on the gates of refineries and other process industry facilities: “This plant has worked 147 days without a safety incident.”
For some plant managers, this sign is validation that good processes are in place. For others, especially plant safety engineers and managers (EHS), it’s counting the days leading to something bad inevitably happening.
The impacts of safety are twofold when it comes to asset management. First, traditional inspection methods are inherently dangerous to the facility workers and inspectors involved. There’s also a bigger picture that goes beyond the plant level. Without proper procedures, technology, and analysis, nearby communities and the environment are also at risk of disastrous events.
Here, we break down three ways that robotic inspections improve safety – at the plant level and beyond.


With large industrial equipment comes inherent risks and costly consequences when something goes wrong. Asset failures can send devastating ripple effects, causing unplanned downtime, lost productivity and revenue, significant unbudgeted costs, and dangerous safety incidents.
Maintenance activities are critical to running operations safely, reliably, and seamlessly across various industrial sectors. The ultimate goal of performing maintenance is to maximize the availability of assets while mitigating or fixing issues.
Though this primary goal remains, how we approach maintenance has drastically evolved. Facilities have shifted from trying to figure out what happened after something fails to predicting what will happen, when it will happen, and what proactive actions can be taken to avoid problems.
In this blog, we dive into three different approaches to maintenance – reactive, preventive, and predictive – and discuss how data is changing the game as companies advance with Industry 4.0 digital transformation.


The world’s supply chain continues to adopt modernized approaches as consumers expect fast, often overnight delivery of goods. By replacing manual processes with digital transformation tools and connected technologies, supply chains are boosting their efficiencies, visibility, and flexibility to build resilient end-to-end operations.
Many businesses now rely on implemented technologies like autonomous mobile robots (AMR) and warehouse management systems (WMS) to streamline workflows and gain real-time views into the point-by-point handling of goods across supply networks. A tremendous amount of data is being collected and analyzed about the movement of goods to avoid delays and bottlenecks. However, this data is missing a crucial primary step that impacts all subsequent supply chain stages.
Before goods are received at a warehouse or distribution center, they must safely and reliably travel from ship to shore. Maritime transport is the foundation of global manufacturing and trade. It’s reported that 90% of world trade is carried by maritime vessels. More than 50,000 ships are dedicated to transporting an estimated 11 billion tons of goods each year. The average reliability of container shipping lines arriving on time has historically hovered around 66%– leaving significant room for improvement.
If a maritime vessel requires unplanned maintenance while transporting cargo, this causes significant delays and disruptions to the on-time arrival of goods. With such an impact on our daily access to goods and the global economy as a whole, the digitalization principles that are revolutionizing critical phases of the supply chain should also be applied to how we maintain and monitor the structural health of the vessels that transport goods across the sea.


We all depend on the reliable operation of infrastructure every day. Our infrastructure is the silent foundation for our economic development, supply chains, energy and water systems, transportation, and much more.
However, most of us don’t think about the structural health of the built world until an issue arises, like power outages, a bridge collapsing, or dangerous refinery explosions. Our infrastructure systems are essential in keeping the world running. They must be reliable, operational, and safe—today and in the future.
Every four years, the American Society of Civil Engineers (ASCE) releases the Report Card for America’s Infrastructure. It details the condition and performance of the nation’s infrastructure across 17 different categories. In the most recent report, America’s infrastructure scored a C- rating, leaving significant room for improvement.
In this blog, discover key learnings from the report card and how we can improve the rating for a safer, stronger, and more resilient future.


Oil refineries help keep the world running by turning crude oil into products that heat our homes, fuel our cars, and serve as several essential items in our daily lives. With such significance, refineries must maintain safe, uninterrupted production by avoiding asset failures, extended downtime, and potentially catastrophic events.
Refineries typically conduct a turnaround, commonly called a TAR, to combat these challenges. During the turnaround process, assets are taken offline for an extended period to complete scheduled maintenance, perform inspections, repair or replace equipment, conduct cleaning activities, and ensure compliance.
The primary goal is to complete the turnaround as quickly, safely, and efficiently as possible. The key to successfully achieving this goal is effective pre-turnaround planning. Discover how to build an impactful pre-turnaround plan and the benefits of optimizing your roadmap.


Pressure swing adsorption (PSA) vessels create and separate gases using a high degree of pressure. The PSA process can be implemented across a large range of applications and is commonly utilized by oil and gas refineries to purify hydrogen.
With this process, gases and impurities are filtered from the feed stream by being adsorbed onto solid surfaces at high pressure levels and desorbed at lower pressures. The higher the pressure, the more gases are adsorbed. While high pressure increases operational efficiency, it also increases the risk of structural issues that can lead to catastrophic failures and dangerous explosions.
Learn about some of the common damage mechanisms found in PSA vessels and what can be done to identify and address problem areas to optimize safe, reliable operations.


The World Economic Forum’s Annual Meeting gathers government, business, and civil society leaders in Davos, Switzerland, to discuss global issues and make positive, impactful changes happen.
Gecko Robotics CEO Jake Loosararian was invited to speak at the forum on a panel titled, “In the Name of National Security.” In this session, he joined the Global Editorial Director of Wired Magazine Gideon Lichfield, FBI Director Christopher Wray, First Deputy Prime Minister of Ukraine Yuliia Svyrydenko, and Cloudflare, Inc. CEO Matthew Prince to discuss dual-use technologies and why robotics, AI systems, and data software solutions are critical in driving energy security and national defense. This blog highlights and expands on Jake’s discussions from the panel.


Inclement weather conditions can cause catastrophic impacts on power plants, especially during the winter months with periods of extremely frigid temperatures. Severe conditions can be forecasted in advance or hit without notice — Either way, they can become disruptive, dangerous, and costly.
In this blog, learn about the importance of seasonal readiness planning, what happened when an energy provider didn’t effectively prepare for extreme weather, and how energy companies can increase operational reliability to protect against service disruptions.

By Katie Brenneman
A robust STEM education is key to student success in the digital age. A strong grasp of science, technology, engineering, and mathematics ensures that the pupils of today have the skills they need to find personal and professional success in the future.
However, many students find STEM classes dull and unengaging. This is largely due to misconceptions about the purpose of STEM classes and outdated lesson plans that fail to capture the student’s imagination.
Unfortunately, social inequalities exacerbate disinterest in STEM fields. Black and Hispanic folks are underrepresented in the STEM industry and women in STEM only earn 77% of the average salary that a man in STEM receives. These inequalities push some students away from STEM and must be addressed by teachers who want to cultivate interest and inclusivity in the classroom.

By Ellie Gabel
Photo by : Unsplash
STEM education is critical for the long-term success of electric vehicles and clean energy. These industries remain relatively new to educators and students alike. Expanding coverage of electrification technologies will ensure the next generation has the knowledge and skills they need to contribute to positive, long-term growth in sustainability initiatives.

By Devin Partida
Photo by : Unsplash
Pursuing equity in science, technology, engineering, and mathematics (STEM) education is an ever-evolving conversation around representation and diversity. Artificial Intelligence (AI) — a frontier within STEM itself — emerges not just as an object of study but as a tool to promote equity among students who want to pursue a career in this field. However, can teachers really use AI to champion inclusivity, adaptability and accessibility to create a brighter future for minorities?

By Ellie Gabel
Although most schools have integrated technology into many aspects of their institution, their standard equipment doesn’t typically meet the requirements to support an Esports program. To modernize and future-proof their endeavors, they must invest in quality equipment.

By Devin Partida
Our world is changing so rapidly that sometimes, it's challenging to predict what the future will look like. But one thing is certain — kids have different needs now than they did 20 years ago.
Gone are the days when being intelligent and hardworking is enough. Now, more factors contribute to determining the future generation's success. But just how can we prepare our kids to become key leaders in future industries?
The answer can be found in a science, technology, engineering and mathematics (STEM) education. A STEM education significantly impacts children's future as these subjects can teach kids many soft and hard skills that will enable them to perform at a globally competitive level.

AI LAB by RobotLAB implementation in Lexington city schools
In recent years, concerns have been growing over the declining math proficiency among students in the United States. The ability to comprehend and apply mathematical concepts is not only essential for academic success but also for preparing individuals to thrive in an increasingly technology-driven world. As math scores continue to drop, there's a pressing need to explore innovative solutions to reignite students' interest in mathematics. One such solution lies in harnessing the power of AI labs and robots as engaging educational tools. This blog post delves into the potential of AI labs and robots to enhance math proficiency and foster a renewed enthusiasm for learning.

By Softbank Robotics
New technologies like remote learning platforms, big data, and AI are changing the way students learn (and the way schools are managed). From early childhood, to K-12, to higher education, and beyond, new tech in schools is opening up transformational possibilities for instruction, student support, and school operations. Below, we cover some of the most valuable technological innovations helping school administrators and their staff deliver a quality educational experience while adapting to staffing challenges and tight budgets.

By Ellie Gabel
Is artificial intelligence in education the future or a risky new tool for cheating? AI can be a highly beneficial technology for students and teachers alike. When used wisely, it can help kids learn at their own pace or provide valuable support for educators. How can the sector leverage AI to benefit students and teachers without compromising safety or integrity?

By Katie Brenneman
Image Source: Pexels
The continued rise of the digital landscape has revolutionized the world we live in. A range of day-to-day interactions are influenced by advanced tools and technical ideas. It is, therefore, essential to ensure that students today benefit from a science, technology, engineering, and math (STEM) education, alongside an understanding of robotics. After all, these elements are likely to continue to be core parts of their future.
However, as important and fascinating as these subjects are, not all students will be enthusiastic about them. Some of the ideas can be complex or might seem to not tie into the more creative subjects certain students prefer. This is where identifying innovative approaches to STEM and robotics curricula can ensure you can offer students an engaging and enriching education.
By Carla Jose
Image Source: Unsplash
If we think about the world our elementary and middle school students are growing up in, we notice that everyday tasks are constantly being redefined by artificial intelligence (AI).
From voice assistants to self-driving cars, AI is changing the way we live, work, and play, and introducing students to these ideas at a young age can open a world of opportunities for them. However, teaching such an abstract concept can be challenging for some. But fear not!
This handy guide will walk you through ten simple ways to make AI a part of your school curriculum, creating truly engaging and interactive lessons for all of your young learners.
Let's delve into the fascinating journey of acquainting kids with artificial intelligence concepts!

Roboguide is a well-known software tool for programming FANUC robots… but it’s not the only available option. You might not have realized this before, but there are other offline programming …
The post Roboguide: How To Program a FANUC Robot appeared first on RoboDK blog.

RoboDK, a leading Canadian-European robot programming software company, has released the design and assembly instructions of the TwinTrack Probe. Available from September 2023, the cost-effective tool allows users to easily …
The post New TwinTrack Probe from RoboDK Simplifies Robot Programming by Demonstration appeared first on RoboDK blog.

Are you looking for ways to improve your production process? Whether you are looking to optimize your workflow, automate bottleneck tasks, or prioritize continuous improvement, RoboDK can help. Simulation and …
The post 9 Ways to Improve a Production Process with RoboDK appeared first on RoboDK blog.

Robots are becoming one of the most commonly used technologies in many industrial settings. However, programming industrial robots often remains a complicated process. Offline programming offers a way to make …
The post Easier and Faster Offline Programming appeared first on RoboDK blog.

The RoboDK API offers a powerful set of tools for you to quickly and easily program more complex robot tasks. It is the perfect tool for automating repetitive robot programming …
The post Introduction to RoboDK’s API: How to Automate Repetitive Tasks appeared first on RoboDK blog.

The rise of Industry 4.0 has ushered in a new era of industrial automation characterized by the convergence of digital technologies and physical manufacturing processes. At the heart of this …
The post The Transformative Power of Industrial Robot Arms in Industry 4.0 appeared first on RoboDK blog.

ABB is one of the top robot brands in the world – being one of The Big 4 robot companies. If you use ABB robots, this spotlight guide is for …
The post Spotlight on ABB: How to Program ABB Robots appeared first on RoboDK blog.

One concept that’s often misunderstood in robotics is “singularity.” There are 2 types of singularity that relate to robotics, but they both mean very different things. When you hear someone …
The post Robot Singularity vs Kinematic Singularity: What’s the Difference? appeared first on RoboDK blog.

What could your business achieve if you could minimize downtime? Downtime is an inevitable part of any manufacturing process. But too much downtime can quickly add up. If you aren’t …
The post How to Minimize Machine Downtime with RoboDK appeared first on RoboDK blog.

Agile and flexible are two terms we often use in the context of robotics and automation… but what do they really mean? In today’s increasingly competitive market, we are all …
The post Agile vs Flexible: What’s the Difference for Robotic Manufacturing? appeared first on RoboDK blog.

Robot programming is an integral part of automation deployment. But you need to optimize your programming workflow if you want to deploy robots efficiently and get the most from your …
The post Optimize Robot Programming for Efficient Deployment appeared first on RoboDK blog.

How much energy does a robot use? Robots can have many benefits for businesses, but people don’t always consider how much energy they will use. Industrial robots can be power-hungry …
The post Saving Money on Robot Energy Costs appeared first on RoboDK blog.

In a recent collaborative effort with FORCE Technology and Hexagon Manufacturing Intelligence using ESPRIT additive toolpath programming, an industrial robot was programmed using RoboDK’s simulation software. ESPRIT and RoboDK, a …
The post Gear Repair Collaboration with RoboDK appeared first on RoboDK blog.

There is one factor that always remains constant in industry, and that is technological innovation. The manufacturing industry is always pursuing innovations to improve production processes and material handling to …
The post How Robot Integration Improves MRO Applications appeared first on RoboDK blog.

In today’s economy, it’s more important than ever to stay competitive. One way to do that is by incorporating flexible manufacturing into your business. According to the Deloitte 2022 Industry …
The post Is Flexible Manufacturing Right for You? How to Stay Competitive appeared first on RoboDK blog.

Efficiency is often the word on the tip of every manufacturer’s tongue when they are thinking about improving their processes. And rightfully so! Improving your efficiency can lead to spending …
The post 10 Ways to Improve Manufacturing Efficiency appeared first on RoboDK blog.

This Series A funding round brings Boxbot's total funding raised to date to $29.5 million for its package handling system.
The post Boxbot brings in $12M for package handling system appeared first on The Robot Report.

This new funding brings FERNRIDE's Series A round to a total of $50 million, just months after the round's first $31 million was announced.
The post FERNRIDE brings in $19M, bringing Series A round to $50M appeared first on The Robot Report.
Over the next 10 years, Waabi and Uber Freight plan to deploy Waabi Drivers alongside carrier partners on the Uber Freight network.
The post Waabi partners with Uber Freight to deploy autonomous trucks at scale appeared first on The Robot Report.
The Robotics Startup Boot Camp at RoboBusiness will provide “tips of the trade” around the challenges that can make or break a startup.
The post Robotics Startup Bootcamp at RoboBusiness appeared first on The Robot Report.

CMR Surgical announced today that it raised a funding round worth $165 million (£133 million) and hit a milestone with its surgical robot.
The post CMR Surgical brings in $165M to support surgical robot appeared first on The Robot Report.

Diligent Robotics plans to use the funding to fuel system-wide expansions of its Moxi robot across hospitals nationwide.
The post Diligent Robotics brings in $25M for Moxi appeared first on The Robot Report.

A cartesian robot system that uses XYZ coordinates to move multiple axes—typically three—to a specific location within its workspace.
The post What is a cartesian robot and how is it used in automation? appeared first on The Robot Report.
The P80360 stepper drive offers closed-loop position control and is fully programmable, enabling servo-like versatility, precision and repeatability in a stepper drive.
The post Kollmorgen adds new stepper drive with closed-loop position control appeared first on The Robot Report.

Waymo will be offering free rides to residents and visitors across different LA neighborhoods ahead of a wider service launch.
The post Waymo to give free robotaxi rides during LA tour appeared first on The Robot Report.

Students using the robot and controller can learn how robotics can be deployed across different sectors and applications.
The post ABB expands educational robots with IRB 1090 appeared first on The Robot Report.

Virtual Incision announced that it added a $30 million extension to its previous $46 million Series C financing round.
The post Virtual Incision raises $30M for mini surgical robot appeared first on The Robot Report.

The latest evolution of the Maestro System focuses on manufacturing scalability, together with increased capability and has simplified both usability and training.
The post Moon Surgical picks up CE mark for updated Maestro surgical robot appeared first on The Robot Report.
TRI said new approach is a step towards building Large Behavior Models (LBMs) for robots, analogous to Large Language Models (LLMs) for conversational AI.
The post How TRI is using Generative AI to teach robots appeared first on The Robot Report.

K24 SOM and KD240 Kit enable the design of power-efficient, production-ready solutions for motor control and digital signal processing applications with a fast time to market
The post AMD launches Kria K24 SOM and starter kit for industrial and commercial applications appeared first on The Robot Report.

Interact Analysis expects the mobile robot market to reach an installed base of over 4 million mobile robots by the end of 2027.
The post Learn the fundamentals of designing AMRs at RoboBusiness appeared first on The Robot Report.





This blog contains an event preferencing reminder and a series of event updates/news.
Information on 2023 usage reporting, AprilTag updates, and more!
It’s that time of year where we share award updates for the new season!
We’re so excited to announce that Dow is now the sponsor of the Team Sustainability Award! We have updated the award to encompass two aspects of sustainability: team longevity and environmental consciousness.
We are so excited to announce some updates to the Dean’s List Award!
As teams are reforming for the new season, we want to remind you to take time to make sure all team members, adults and youth, understand their role in creating a safe environment.
We want to let our FIRST Robotics Competition teams know about the potential grant opportunities our generous sponsors have to offer.
Meet the 2023 FIRST® Robotics Competition interns!
Sharing a change coming to the robot rules for the 2024 season to help teams and vendors make better informed decisions as they prepare for Kickoff.
Sharing more details on the expansion of the Kit of Parts base robot to help teams make decisions before the Black Tote and Drive Base opt-out deadline on Oct. 19th 12pm noon ET.


Paul's string art robot is impressive, but the path he took to get there - as well as the persistence required - is what is really impressive
The post Building a String Art Robot Looks Difficult appeared first on Make: DIY Projects and Ideas for Makers.


What is the mBot Neo, anyway? The mBot Neo a coding robot that makes learning interactive, engaging, and loads of fun! With its cutting-edge technology, this educational robot takes learning to a whole new level by showcasing real-world applications, and we need to mention lego compatibility too. How To Put mBot Neo Together The instructions […]
The post Review of mBot Neo appeared first on Make: DIY Projects and Ideas for Makers.


Have you ever wanted a hand-held knife launching robot that always hits it’s target? No? Well Quint Builds did and he (and his son) went through the exhausting process of designing it. This build is so much more complex than it looks at a glance. Take for example the “simple” task of holding a knife. […]
The post How To Build A Knife Throwing Robot appeared first on Make: DIY Projects and Ideas for Makers.


When it comes to building robot assistants, Thomas Burns at Workshop Nation points out that we have incredible and amazing technology, but it’s lacking in visual personality. Just look at your Alexa or Google home device. They are pretty incredible in terms of technology but they are lacking in aesthetics. OK, some of you may […]
The post Give Alexa a Billion Times More Personality with a New Body appeared first on Make: DIY Projects and Ideas for Makers.


Want to build your own battle robot? Today’s the day. Kerfuffle is a mini bot designed to inflict mechanical damage to other machines in caged combat. If you’ve ever seen the show BattleBots then you already have a very solid idea of how these robots operate. Kerfuffle is a 1lb robot in the plastic antweight class, meaning […]
The post Build Your First Combat Bot! appeared first on Make: DIY Projects and Ideas for Makers.


In the summer of 2015, I went to my first Maker Faire, in Tokyo, Japan. Afterward, I could only think about the challenge of making something. It moved me so much that I left the company where I worked as a programmer for 16 years and became a full-time maker. I challenged myself to create something […]
The post Smart3: The Self-Solving Rubik’s Cube appeared first on Make: DIY Projects and Ideas for Makers.


The idea came to me while I was listening to a great Seattle fingerpicking guitarist, the late Klaus Lendzian, at a favorite local restaurant. I’d been hearing him play at various venues around town since the 1980s. As I watched him play, I thought, “He’s really good. Lyrical, a great sense of timing. Wow, I […]
The post How I Built A Guitar Picking Robot appeared first on Make: DIY Projects and Ideas for Makers.


Many of us fell absolutely in love with Wall-E, the main character of a movie by the same name that came out in 2008. This tiny bot was so full of emotion and so adorable, we all wanted one in our lives. The youtube channel ProfessorBoots has put together this tiny version of Wall-E and […]
The post We Love This Tiny Radio Controlled Wall-E appeared first on Make: DIY Projects and Ideas for Makers.


These awesome, somewhat aged, industrial arms are out there, and most of us have seen them floating around on ebay or other various auction sites. However, when you look at the details you see that the cnc “brains” are machines from the 90s with floppy drives and antequated hardware, and more often than not, simply […]
The post Bringing A Broken Industrial Arm Back To Life As A CNC Mill appeared first on Make: DIY Projects and Ideas for Makers.


Organizer David Calkins and combat robot legend Ray Billings talk about RoboGames. After a four-year hiatus, RoboGames returns on April 6th through the 9th to the Alameda County Fairgrounds in Pleasanton, California. RoboGames is the world’s largest robot competition with over 54 different events — everything from tiny little Rubik’s cube-sized Sumo robots that act […]
The post The Return of RoboGames appeared first on Make: DIY Projects and Ideas for Makers.

















We are living at the dawn of the general-purpose robotics age. Dozens of companies have now decided that it's time to invest big in humanoid robots that can autonomously navigate their way around existing workspaces and begin taking over tasks from human workers.
Category: Robotics, Technology
Tags: Artificial Intelligence, LLM (Large Language Model), Toyota, Robotics

Agility Robotics is well into construction of a 70,000-sq-ft (6,503-sq-m) facility in Salem, Oregon, with the capacity to produce more than 10,000 units per year of the company's Digit humanoid robot – which will work alongside humans on the factory floor.
Category: Robotics, Technology
Tags: Humanoid, Robot Factory, Robotics, Robots

Most robots use electric actuators, but this little fella packs a lot more punch. Researchers have created a new type of minuscule combustion engine that gives this tiny frog robot explosive leaping abilities, as well as fine movement control.
Category: Robotics, Technology
Tags: Biomimicry, Engine Technologies, Cornell University, Robot, Robotics

It goes without saying that it is very important for airliners' jet engines to be regularly inspected. Such inspections could soon be easier and more thorough than ever before, thanks to a robot that moves like an inchworm.
Category: Robotics, Technology
Tags: Soft Robotics, General Electric, Biomimicry, locomotion, Aircraft, Jets, Binghamton University

In recent years we've seen quadruped robots, self-balancing robots, and omnidirectional robots. Should you want one of your own, the UGOT Robotic Kit now allows users to build all of those bots and more.
Category: Robotics, Technology
Tags: Kickstarter, Modular Robotics

One of the most commonly suggested uses for tiny robots is the search for trapped survivors in disaster site rubble. The insect-inspired CLARI robot could be particularly good at doing so, as it can make itself skinnier to squeeze through tight horizontal gaps.
Category: Robotics, Technology
Tags: University of Colorado, Biomimicry, Insect

Most of German Bionic's power suits are designed to assist workers in industrial facilities, but the company's latest device is aimed at supporting healthcare professionals in hospitals, elderly care or rehab units.
Category: Robotics, Technology
Tags: Exoskeleton, Health, Assistive Technologies, elderly home care

Humanoid robots: so hot right now. Apptronik out of Austin, Texas, has pulled the covers off Apollo, a friendly-faced general purpose humanoid designed to hit the workforce and start making a useful impact as quickly as ... inhumanly possible?
Category: Robotics, Technology

While forklifts do work well for lifting and moving heavy loads indoors, they're bulky (in close quarters), expensive, and can't lift loads over a certain footprint size. That's where the FORMIC modular robotic transportation system is designed to come in.
Category: Robotics, Technology

While we've seen a number of quadruped "robotic dogs" lately, they all require control motors to maintain their running gait. An experimental new one, however, keeps running on its own once it's been set in motion.
Category: Robotics, Technology
Tags: EPFL, Quadruped, Running, Dogs, Biomimicry

A team of researchers has developed the world’s first humanoid robot pilot. As well as being able to slide easily into the pilot’s seat and use its hands to flip switches in the cockpit, the robot – called PIBOT – uses AI technology to memorize flight charts and emergency protocols.
Category: Robotics, Technology

It can really get us down watching as AIs learn to write music, poetry and technology news, but watching this clever autonomous toilet-bot mop up the bogs somehow makes it all worthwhile. It's good to know robots are coming for the crappy jobs too.
Category: Robotics, Technology
Tags: Robot, Autonomous, Toilet, Cleaning, Robotics

China's consumer technology giant Xiaomi has unleashed the second iteration of its robot pooch. The CyberDog 2 looks much less business-like and more like a family companion, comes packed with sensors, and can still do back flips.
Category: Robotics, Technology

Just last week, we heard about a robotic baby sea turtle that can "swim" through the sand. It's not the only robo-turtle in town, though, as another one has been developed to possibly one day lead real baby turtles to the safety of the sea.
Category: Robotics, Technology

Keeping panels clear of dust in large solar farms can be a time-consuming, wasteful and costly business. A Sicilian technology startup called the Reiwa Engine has developed an autonomous robot called SandStorm to reduce maintenance and cleaning costs by as much as 80%.
Category: Robotics, Technology
Tags: Solar Power, Cleaning, Robot, Autonomous, Sustainable, Electric

Using a novel design inspired by the Japanese art of paper cutting, researchers have developed gentle yet strong robotic grippers that can fold clothes, grasp a drop of water and ultrathin microfibers, lift 16,000 times their own weight, and turn the pages of a book. The device has a wide range of potential applications, from prosthetics to minimally invasive surgery and deep-sea exploration.
Category: Robotics, Technology
Tags: Robotic, Soft Robotics, North Carolina State University

When baby sea turtles hatch from their buried eggs, they use their powerful flippers to make their way up through the sand. A new "sand-swimming" robot, inspired by those hatchlings, could one day save lives or even explore other planets.
Category: Robotics, Technology
Tags: UC San Diego, Biomimicry, Swimming, locomotion, Sand

As is the case with any other electrical device, the less energy that a robot uses to perform its assigned duties, the better. A new soft robotic gripper was created with this fact in mind, as it grasps and releases objects without using any electricity at all.
Category: Robotics, Technology
Tags: UC San Diego, Soft Robotics, Compressed Air

Inspections of tall metal structures or machines can be difficult for people to perform up-close and in person, and while aerial drones may help, their limited battery life is a problem. That's where the magnetic-footed Magnecko robot is intended to come in.
Category: Robotics, Technology
Tags: ETH Zurich, Biomimicry, Magnetic, Quadruped, Climbing

Chinese company Unitree has opened pre-orders on its second-gen robot dog companion. The Go2 can follow you around at jogging speeds, perform some wild gymnastic feats, and even talk to you through a GPT-enabled system that writes code on the fly.
Category: Robotics, Technology

Arizona's Revolute Robotics has presented its autonomous Hybrid Mobility Robot (HMR), a whirling, spherical cage that can fly like a multicopter, or roll in any direction using two gyroscopic gimbal rings. It's one heck of a thing to see in motion.
Category: Robotics, Technology

When handling fragile objects, robots need to have a delicate touch. And while some previous efforts to give them that touch have involved things like soft rubbery fingers, an experimental new one was inspired by a blooming rose.
Category: Robotics, Technology
Tags: Japan Advanced Institute of Science and Technology, Biomimicry

Chinese company Fourier Intelligence says it plans to manufacture 100 of its GR-1 general-purpose humanoid robots by the end of 2023, making the remarkable promise that they'll be able to carry nearly their own weight. They also have a unique focus.
Category: Robotics, Technology

Robotic surgical systems such as the da Vinci X are very impressive, with their two arms that are controlled by the surgeon's two hands. An experimental new system takes things even further, though, by adding two more arms controlled by the user's feet.
Category: Robotics, Technology
Tags: EPFL, Surgical robot

In recent years, we've seen wood used in the construction of traditionally non-wooden things like transistors, bicycles and drones. Now, scientists have used the stuff to create a robotic gripper … which definitely has its selling points.
Category: Robotics, Technology

While most of us may just think of krill as baleen whale food, the tiny crustaceans are also very adept swimmers … enough so that scientists have now developed a krill-inspired robotic platform in hopes of one day creating swarms of ocean-exploring swimming robots.
Category: Robotics, Technology
Tags: Brown University, Swimming, locomotion, Biomimicry, Swarm Robotics

As much as a robot might excel at a certain mode of transport, as soon as conditions change it can become hopeless. Now engineers at Caltech have designed a new robot that can roll around on four wheels, flip them into rotors to fly, or transform for six other types of motion.
Category: Robotics, Technology
Tags: Robot, Robots, Robotics, Robotic, drones, Wheel, Caltech, Transformable

If you thought that putting a rifle on a robotic dog was daft enough, what about one with an actual flamethrower on its back? Not just a concept, Throwflame is taking preorders for its Thermonator flamethrower-wielding quadruped robot for those who feel their life would be incomplete without one.
Category: Robotics, Technology

While farmers have to perform a number of difficult tasks, tending to the grain stored inside grain bins (aka granaries) is particularly arduous – not to mention dangerous. That's where the Grain Weevil grain bin management robot is designed to come in.
Category: Robotics, Technology
Tags: Farming, Agriculture, Autonomous

In cramped spacecraft or space stations, there typically isn't room to store multiple robots that are each designed for a specific task. The Mori3 system was designed with that fact in mind, as it can be used to create different types of robots as needed.
Category: Robotics, Technology
Tags: EPFL, Modular Robotics, Spacecraft, Astronauts

Often referred to as the lungs of the planet, the Amazon rainforest is in trouble – with around a third reported as already gone or degraded. A pocket of resistance in Peru has now been joined by a dual-armed robotic gardener to help with reforestation.
Category: Robotics, Technology
Tags: Robot, Conservation, Forest, Tree, Automation

The spotted lanternfly is a serious invasive pest in some parts of the US, causing considerable damage to crops such as apples, grapes and hops. That's why it's important to destroy the insect's eggs – which is exactly what the TartanPest robot is designed to do.
Category: Robotics, Technology
Tags: Carnegie Mellon, Agriculture, Crops, Insect, Pests

Oceanbotics' SRV-8 underwater ROV (remotely operated vehicle) is certainly no slouch, nor is its more capable sibling, the SRV-8X. The latest version of the vehicle, the SRV-8 MDV, takes things even further – it blows up sea mines.
Category: Robotics, Technology
Tags: Remote-Control, mine detection, Underwater, Explosives

Is there anything ChatGPT can’t do? Yes, of course, but the list appears to be getting smaller and smaller. Now, researchers have used the large language model to help them design and construct a tomato-picking robot.
Category: Robotics, Technology
Tags: LLM (Large Language Model), GPT, Robot, Delft University of Technology, EPFL

There's a tradeoff with robotic graspers – they're typically either firm enough to securely grab and lift sturdy, heavy objects, or soft enough to lift fragile objects without breaking them. A new sponge-based system, however, could allow one grasper to switch back and forth between doing both.
Category: Robotics, Technology
Tags: University of Bristol

In an effort to keep livestock safe from coyotes while not harming the predators themselves, researchers carried out a study involving a remote-controlled vehicle equipped with powerful lights. The solution worked, hinting at a future in which robot ranch hands could work night patrol.
Category: Robotics, Technology
Tags: Farming, Autonomous Vehicles, Conservation, Wildlife, Animals

For the past year, Uber-backed Serve Robotics' wheeled robots have been delivering takeout food and groceries to customers in the Los Angeles area. The company has now announced that up to 2,000 of the bots are set to enter use with Uber Eats in other North American cities.
Category: Robotics, Technology
Tags: Food, Uber, Autonomous, Delivery robots

Once again, technology has been inspired by nature. After examining how centipedes traverse rough terrain, researchers created a multi-legged robot that mimics their curved, side-to-side movement, providing greater stability and maneuverability.
Category: Robotics, Technology
Tags: Robot, Biomimetic, Osaka University

In order to keep from accidentally hurting their human coworkers, many industrial robots have sensors that detect physical contact with people or other objects. Scientists have now devised a high-tech sweater which brings this functionality to robots that don't have it already.
Category: Robotics, Technology
Tags: Carnegie Mellon, Electronic skin, Smart Fabric, Touch

Researchers have taken another step forward in medical micro-robotics, designing a tiny, speedy, self-propelled bot that may one day deliver medications directly where they’re needed inside the body.
Category: Robotics, Technology
Tags: Microbots, Acoustics, Drug delivery, University of Colorado

By Deborah Pirchner, Frontiers science writer Image: Shutterstock.com Malaria is an infectious disease claiming more than half a million lives each year. Because traditional diagnosis takes expertise and the workload is high, an international team of researchers investigated if diagnosis using a new system combining an automatic scanning microscope and AI is feasible in clinical settings. They found that the system identified malaria parasites almost as accurately as experts staffing microscopes used in standard diagnostic procedures. This may help reduce the burden on microscopists and increase the feasible patient load. Each year, more than 200 million people fall sick with malaria and more than half a million of these infections lead to death. The World Health Organization recommends parasite-based diagnosis before starting treatment for the disease caused by Plasmodium parasites. There are various diagnostic methods, including conventional light microscopy, rapid diagnostic tests and PCR. The standard for malaria diagnosis, however, remains manual light microscopy, during which a specialist examines blood films with a microscope to confirm the presence of malaria parasites. Yet, the accuracy of the results depends critically on the skills of the microscopist and can be hampered by fatigue caused by excessive workloads of the professionals doing the [...]
The post New high-tech microscope using AI successfully detects malaria in returning travelers first appeared on Science & research news | Frontiers.

By Deborah Pirchner, Frontiers science writer Image: Shutterstock.com Predicting hit songs is notoriously difficult. Researchers have now applied machine learning (ML) to high-frequency neurophysiologic data to improve hit song prediction accuracy. They showed that if ML was applied to neural data collected while people listened to new music, hit songs could be predicted with close-to-perfect accuracy. This can open doors to providing consumers with the entertainment they are looking for, rather than flooding them with options. Every day, tens of thousands of songs are released. This constant stream of options makes it difficult for streaming services and radio stations to choose which songs to add to playlists. To find the ones that will resonate with a large audience, these services have used human listeners and artificial intelligence. This approach, however, lingering at a 50% accuracy rate, does not reliably predict if songs will become hits. Now, researchers in the US have used a comprehensive machine learning technique applied to brain responses and were able to predict hit songs with 97% accuracy. “By applying machine learning to neurophysiologic data, we could almost perfectly identify hit songs,” said Paul Zak, a professor at Claremont Graduate University and senior author of the study [...]
The post Machine learning helps researchers identify hit songs with 97% accuracy first appeared on Science & research news | Frontiers.

by Inês Hipólito/Deborah Pirchner, Frontiers science writer Image: shutterstock.com Inês Hipólito is a highly accomplished researcher, recognized for her work in esteemed journals and contributions as a co-editor. She has received research awards including the prestigious Talent Grant from the University of Amsterdam in 2021. After her PhD, she held positions at the Berlin School of Mind and Brain and Humboldt-Universität zu Berlin. Currently, she is a permanent lecturer of the philosophy of AI at Macquarie University, focusing on cognitive development and the interplay between augmented cognition (AI) and the sociocultural environment. Inês co-leads a consortium project on ‘Exploring and Designing Urban Density. Neurourbanism as a Novel Approach in Global Health,’ funded by the Berlin University Alliance. She also serves as an ethicist of AI at Verses. Beyond her research, she co-founded and serves as vice-president of the International Society for the Philosophy of the Sciences of the Mind. Inês is the host of the thought-provoking podcast ‘The PhilospHER’s Way’ and has actively contributed to the Women in Philosophy Committee and the Committee in Diversity and Inclusivity at the Australasian Association of Philosophy from 2017 to 2020. As part of our Frontier Scientist series, Hipólito caught up with Frontiers to tell us [...]
The post Why diversity and inclusion needs to be at the forefront of future AI first appeared on Science & research news | Frontiers.

Online Seminar Series Inclusion, accessibility, and social interaction in virtual and augmented reality environments is key to ensure the success of the deployment of this technology at a public scale. Although immersive environments offer fantastic opportunities for creativity, learning, and social interaction, there is a risk of abusive behavior and exclusion of people with special needs. The GuestXR European project embraces artificial intelligence, together with neuroscience and social psychology research to increase harmony and improve the participants’ experience in shared 3D virtual or augmented reality spaces. This seminar series, organized by Frontiers in Virtual Reality journal and partners from the GuestXR project, will start with a webinar on the features of an innovative XR technology for meeting with participants around the world. The series of online series will follow on with sessions on the research and advancements on haptic technologies and 3D audio techniques to support social interactions and inclusion in XR environments. Finally, we will delve into advanced multisensory features to improve accessibility to VR environments by publics with special needs. Speakers Bio: SeminarDate AbstractRegistration linkSEMINAR 1. A Shared XR System with Full Body Avatars and AI Agent Integration for Enhanced Inclusivity17 May 2023, 16.00h CESTIn this webinar, we will discuss an innovative [...]
The post Frontiers in Virtual Reality Seminar Series 3: Fostering inclusion and social interaction in XR first appeared on Science & research news | Frontiers.

By Deborah Pirchner, Frontiers science writer Image: Shutterstock.com Compostable plastics are on the rise. Despite their merits, these products, including wrappers and packaging, can contaminate conventional plastic waste in the recycling process. Now, scientists used highly sensitive imaging techniques and developed machine learning methods that can identify compostable plastics among conventional types. Disposable plastics are everywhere: Food containers, coffee cups, plastic bags. Some of these plastics, called compostable plastics, can be engineered to biodegrade under controlled conditions. However, they often look identical to conventional plastics, get recycled incorrectly and, as a result, contaminate plastic waste streams and reduce recycling efficiency. Similarly, recyclable plastics are often mistaken for compostable ones, resulting in polluted compost. Researchers at University College London (UCL) have published a paper in Frontiers in Sustainability in which they used machine learning to automatically sort different types of compostable and biodegradable plastics and differentiate them from conventional plastics. “The accuracy is very high and allows the technique to be feasibly used in industrial recycling and composting facilities in the future,” said Prof Mark Miodownik, corresponding author of the study. Up to perfect accuracy The researchers worked with different types of plastics measuring between 50mm by 50mm and 5mm by 5mm. [...]
The post Machine learning helps researchers separate compostable from conventional plastic waste with ‘very high’ accuracy first appeared on Science & research news | Frontiers.

by Liad Hollender, Frontiers science writer Credit: Thomas Hartung, Johns Hopkins University Despite AI’s impressive track record, its computational power pales in comparison with that of the human brain. Scientists today unveil a revolutionary path to drive computing forward: organoid intelligence (OI), where lab-grown brain organoids serve as biological hardware. “This new field of biocomputing promises unprecedented advances in computing speed, processing power, data efficiency, and storage capabilities – all with lower energy needs,” say the authors in an article published in Frontiers in Science. Artificial intelligence (AI) has long been inspired by the human brain. This approach proved highly successful: AI boasts impressive achievements – from diagnosing medical conditions to composing poetry. Still, the original model continues to outperform machines in many ways. This is why, for example, we can ‘prove our humanity’ with trivial image tests online. What if instead of trying to make AI more brain-like, we went straight to the source? Scientists across multiple disciplines are working to create revolutionary biocomputers where three-dimensional cultures of brain cells, called brain organoids, serve as biological hardware. They describe their roadmap for realizing this vision in the journal Frontiers in Science. “We call this new interdisciplinary field ‘organoid intelligence’ [...]
The post Scientists unveil plan to create biocomputers powered by human brain cells first appeared on Science & research news | Frontiers.

by Liad Hollender, Frontiers science writer Image: Prof Thomas Hartung Over just a few decades, computers shrunk from massive installations to slick devices that fit in our pockets. But this dizzying trend might end soon, because we simply can’t produce small enough components. To keep driving computing forward, scientists are looking for alternative approaches. An article published in Frontiers in Science presents a revolutionary strategy, called organoid intelligence. This emerging scientific field aims to create biocomputers where lab-grown brain organoids (three-dimensional brain-cell cultures) serve as biological hardware. According to the authors, this technology could also drive progress in biomedicine, providing unprecedented insight into the human brain. To learn more about this exciting new field, we interviewed the senior author of the article, Prof Thomas Hartung. He is the director of the Center for Alternatives to Animal Testing in Europe (CAAT-Europe), and a professor at Johns Hopkins University’s Bloomberg School of Public Health. How do you define organoid intelligence? Reproducing cognitive functions – such as learning and sensory processing – in a lab-grown human-brain model. How did this idea emerge? I’m a pharmacologist and toxicologist, so I’m interested in developing medicines and identifying substances that are dangerous to our health, specifically [...]
The post ‘My dream is for AI and brain organoids to explore each other’s capabilities’ first appeared on Science & research news | Frontiers.

By Mischa Dijkstra, Frontiers science writer Joey’s design. Image credit: TL Nguyen, A Blight, A Pickering, A Barber, GH Jackson-Mills, JH Boyle, R Richardson, M Dogar, N Cohen Researchers from the University of Leeds have developed the first mini-robot, called Joey, that can find its own way independently through networks of narrow pipes underground, to inspect any damage or leaks. Joeys are cheap to produce, smart, small, and light, and can move through pipes inclined at a slope or over slippery or muddy sediment at the bottom of the pipes. Future versions of Joey will operate in swarms, with their mobile base on a larger ‘mother’ robot Kanga, which will be equipped with arms and tools for repairs to the pipes. Beneath our streets lies a maze of pipes, conduits for water, sewage, and gas. Regular inspection of these pipes for leaks, or repair, normally requires these to be dug up. The latter is not only onerous and expensive – with an estimated annual cost of £5.5bn in the UK alone – but causes disruption to traffic as well as nuisance to people living nearby, not to mention damage to the environment. Now imagine a robot that can find its [...]
The post Smart ‘Joey’ bots could soon swarm underground to clean and inspect our pipes first appeared on Science & research news | Frontiers.


In the evolving field of robotics, a novel breakthrough has been introduced by researchers: a soft robot that doesn't require human or computer direction to navigate even complex environments. This new invention builds upon previous work where a soft robot demonstrated basic navigational skills in simpler mazes. Harnessing Physical Intelligence for Navigation Jie Yin, the […]
The post “Brainless” Soft Robot Navigates Complex Environments in Robotics Breakthrough appeared first on Unite.AI.


Researchers at the esteemed Purdue University have made a significant leap in the realm of robotics, machine vision, and perception. Their groundbreaking approach offers a marked improvement over conventional techniques, promising a future where machines can perceive their surroundings more effectively and safely than ever before. Introducing HADAR: A Revolutionary Leap in Machine Perception Zubin […]
The post Redefining Robotics: Purdue University’s Innovative Machine Vision Solution appeared first on Unite.AI.


In a significant leap forward for robotics, a team of engineers at the University of California San Diego (UCSD), in collaboration with researchers at the BASF corporation, has developed a 3D-printed robotic gripper that operates without the need for electronics. This innovative device, which can pick up, hold, and release objects, is a testament to […]
The post Revolutionizing Robotics: A 3D Printed Gripper That Functions Without Electronics appeared first on Unite.AI.


In a groundbreaking development, a team of engineers at the University of California San Diego (UCSD) has designed a robotic hand that can rotate objects using touch alone, without the need for visual input. This innovative approach was inspired by the effortless way humans handle objects without necessarily needing to see them. A Touch-Sensitive Approach […]
The post A New Dawn in Robotics: Touch-Based Object Rotation appeared first on Unite.AI.


In the future era of smart homes, acquiring a robot to streamline household tasks will not be a rarity. Nevertheless, frustration could set in when these automated helpers fail to perform straightforward tasks. Enter Andi Peng, a scholar from MIT's Electrical Engineering and Computer Science department, who, along with her team, is crafting a path […]
The post Human-guided AI Framework Promises Quicker Robotic Learning in Novel Environments appeared first on Unite.AI.


Imagine a sophisticated network of interconnected, self-directed robots. They operate in unison, like an intricate aquatic ballet, navigating the pitch-black depths of the ocean, carrying out detailed scientific surveys and high-stakes search-and-rescue missions. This futuristic vision is inching closer to reality, thanks to researchers at Brown University, who are pioneering the development of a new […]
The post Revolutionizing Underwater Exploration: Brown University’s Pleobot Unlocks Ocean Secrets appeared first on Unite.AI.


Swarm behavior from the biological world and polygon meshing from the digital sphere come together to inspire the creation of the Mori3 robot, a breakthrough in the realm of modular robotics. This novel invention developed by researchers at EPFL exhibits the potential of morphing from 2D triangles into virtually any 3D object, heralding a significant […]
The post The Future of Modular Robotics: EPFL’s Mori3, the Polygon Meshing Robot appeared first on Unite.AI.


The advent of artificial intelligence has not only reshaped our digital landscape but has also permeated various fields in unexpected ways. In the most recent manifestation of AI's transformative power, researchers at the Technical University of Delft (TU Delft) in the Netherlands, and the École Polytechnique Fédérale de Lausanne (EPFL) in Switzerland have collaborated with […]
The post Researchers Collaborate with ChatGPT to Design Robot appeared first on Unite.AI.


Cambridge University's engineering team recently revealed a pioneering development in robotics: a robotic chef capable of learning and replicating recipes simply by watching food preparation videos. This breakthrough combines computer vision, machine learning, and robotics, pushing the boundaries of AI capabilities in understanding and executing complex tasks. The robot's unique learning ability is built on […]
The post Robotic Chef Masters Recipe Recreation by Watching Food Videos appeared first on Unite.AI.


In a world first, researchers at Washington State University (WSU) have designed a robotic bee, named Bee++, capable of stable flight in all directions, including the intricate twisting motion known as yaw. This fascinating breakthrough in the field of robotics, enabled by a confluence of innovative design and complex control algorithms, has a multitude of […]
The post Robotic Bees: Researchers Develop Fully Omnidirectional Flying Robot appeared first on Unite.AI.


It's no secret that nonverbal cues play an essential role in our daily interactions, often offering a sense of engagement that words simply cannot. What if we could recreate that in remote settings? This question was the guiding force behind a new project out of Cornell University, which has led to the creation of a […]
The post ReMotion: The New Robotic Telepresence by Cornell Researchers appeared first on Unite.AI.


Humans possess the unique ability to understand the goals, desires, and beliefs of others, which is crucial for anticipating actions and collaborating effectively. This skill, known as “theory of mind,” is innate to us but remains a challenge for robots. However, if robots are to become truly collaborative helpers in manufacturing and daily life, they […]
The post Teaching Robots to Anticipate Human Preferences for Enhanced Collaboration appeared first on Unite.AI.


Robot deception is an understudied field with more questions than answers, particularly when it comes to rebuilding trust in robotic systems after they have been caught lying. Two student researchers at Georgia Tech, Kantwon Rogers and Reiden Webber, are attempting to find answers to this issue by investigating how intentional robot deception affects trust and […]
The post Trust and Deception: The Role of Apologies in Human-Robot Interactions appeared first on Unite.AI.


A recent study published in the Journal of Cognition and Development explored how the age of preschoolers affected their trust in robots as sources of information. The research was conducted by a team from Concordia University and discovered that while three-year-olds exhibited no preference, five-year-olds were more likely to trust robots as competent teachers. Experiment […]
The post Children’s Trust in Robots: Age-Dependent Preferences appeared first on Unite.AI.


An international team of researchers from the Max Planck Institute for Intelligent Systems (MPI-IS) in Stuttgart, Germany, the Johannes Kepler University (JKU) in Linz, Austria, and the University of Colorado (CU Boulder), Boulder, USA, have brought sustainability to the forefront of soft robotics. Together, they developed a fully biodegradable, high-performance artificial muscle made of gelatin, […]
The post Pioneering Sustainable Soft Robotics: Biodegradable Artificial Muscles for a Greener Future appeared first on Unite.AI.
















News briefs for the week take a look at special cobot debuts at FABTECH and Pack Expo: Neuromeka's robot welding cell for shipbuilding and Staubli's TX2-60 Stericlean for high-risk sterile environments, the first-ever, mass-producedhumanoid robots, a robot system, after 250,000 tries, discovers toughest known structure, subsea robots service “floating” wind farm, and Aura, the humanoid "spokesbot" for the new Las Vegas Sphere.


News briefs for the week take a look at robotics at tradeshows FABTECH and PACK EXPO taking place near-simultaneously this September 11 through 14; then a robot team that monitors and maintains the world’s largest radio telescope, a flying and on-wire robot for overhead power lines that predicts wildfires, a robotic surgeon as a cancer patient’s only hope for his inoperable tumor, and how a young, promising surgical robot company suddenly went out of business.


News briefs for the week take a look at cobots and robots getting their own brand of GenAI, a new retail robot in the beauty business painting fingernails in 10 minutes for $10, an automated rail track repair system for European railroads, a subsea robot and automated surface vehicle that work together as a team, and an automated navigation system for any industrial vehicle from farm tractor to bulldozer.


Businesses evolve rapidly. Companies across various industries are grappling with many significant challenges. The labor shortage, giving headaches to many business managers, is a problem that has been exacerbated by ongoing global events and demographic shifts. Another significant, and equally pressing issue, is the ever-increasing need to enhance productivity to meet rising customer expectations.


In the industrial sector, high turnover rates are a significant concern. Perhaps you are experiencing issues related to labor shortage within your own company. The process of hiring and training new employees is not only time-consuming but also considerably costly. This article shed light on the real cost of high turnover rates in industrial companies and explains how palletizing automation can provide a durable solution.


In the world of palletizing, the debate between standard and customized solutions is a hot topic. As businesses strive for safety, efficiency, productivity, cost savings, scalability, versatility, reduced downtime, ease of maintenance, and long-term investment, the choice between standard and customized solutions becomes critical. This article illuminates these aspects, underscoring the advantages of standard solutions over the potential risks of custom palletizing solutions.


News briefs for the week take a look at the trend in solution-selling of cobots vs. individual machine sales, Doosan’s new food-safe cobots, cobot partnering for space-saving and collision-free operation, steel plant’s four-legged safety robot, UN’s robot supply trucks delivering while in harm’s way, and robots gobbling plastic bottles in Paris.


Are we navigating by the stars under cloudy skies? This year’s equity market trading has certainly been characterized by much trepidation as the market struggles to find its true north. Yet, for all the mental scar tissue around what could go wrong, it has been remarkable to see how much has gone right. Not only has economic growth remained relatively robust amidst inflation abating, but consumer spending and corporate margins have also sustained at healthy levels. Yes, it seems like the skies have at times been cloudy, but when will this market let go of the concern that every cloud may bring thunderous rain?


With the first half of 2023 now in the books, what an unexpected and challenging ride it has been. It’s hard to believe that what started out as a bear market rally could, in fact, be a new bull market globally. For the better part of this year, it feels like we have been asking ourselves how much longer we can keep walking the tightrope – particularly in the US, inflation has been abating while jobs have remained strong and economic growth has been buoyant. Nevertheless, as the Fed’s line in the sand keeps being drawn back further, will the market’s fireworks continue to dazzle after the Fourth of July holiday here in the US?


The recent wave of extreme weather—from “atmospheric rivers” drenching the drought-ridden west coast, to the unprecedented series of tornadoes ripping through the Midwest—are a perfect parallel to what investors experienced in March. Though “turbulent” has been a perfect descriptor for the dramatic turns in the market ever since the Fed first began boosting interest rates a year ago, things came to a bona fide boiling point last month, driven largely by the three bank closures that caused global panic, significant deposit outflows, and a brief but sharp downturn as a seeming crisis of confidence gripped global markets. And yet, despite the March Madness, the first quarter shaped up to be a winner. The ROBO Global Indexes were no exception, with gains posted across the board. The ROBO Global Artificial Intelligence Index (THNQ) jumped +22.8%, the ROBO Global Robotics & Automation Index (ROBO) returned +17.71%, and the ROBO Global Healthcare Technology & Innovation Index (HTEC) gained +3.33%.


ChatGPT has dominated the headlines as of late as the transformative technology is already making a splash in creative industries. We sat down with experts in AI and robotics to get the facts about the future of ChatGPT and generative AI. Then, we followed up with a public survey to understand what the general population knows about the technology. The answers might surprise you.











![[UPDATE] A list of resources, articles, and opinion pieces relating to large language models & robotics](https://aihub.org/wp-content/uploads/2022/10/TeresaBerndtsson-LetterWord-Text-Taxonomy-1000x1333-1.jpg)



















