<h3 id="isPasted">Let’s explore some methods on how to achieve this.</h3>First and foremost, there exists the “Straightforward Programming” approach. This means: getting a skilled person to meticulously describe a task, to such an extent that one can write either a simple script or an intricate algorithm that can guide the robot to do the task. This method is great and highly effective when the task is well-defined and specific, something often done in industrial automation. However, the complexity can escalate rapidly, making it challenging. Thus, if the approach is successful, that’s excellent – but if not, we must ponder – what alternative strategies can we employ?Secondly, an alternative approach to consider is “Programming by Demonstration“. This method involves guiding the robot in performing the task. By equipping the robot with advanced force sensing capabilities and vision algorithms, this technique can prove to be quite effective. However, it’s crucial to note that its effectiveness is reliant on the robot’s abilities. Usually, robots are equipped with rudimentary grippers rather than adept, dexterous hands, which can limit the complexity of tasks they can perform.&nbsp;Okay, so how can we effectively record human actions for a robot to mimic?Ideally, we’d guide a human through the task, document it in detail, and then replay it to the robot. We might even consider feeding this information into a machine-learning system, enabling it to learn from our human-guided demonstration. Alternatively, at the very least, we can analyze these human activities, deconstruct them into simpler parts, and use this information to develop more efficient algorithms in the way that a song is deconstructed in a recording studio.&nbsp;OK, so how about, filming the person doing the task and using “machine vision” to track what they are doing?It’s certainly a good starting point. This approach provides valuable insights into the nuances of human behaviour – such as hand-switching moments, object-holding techniques, and tool usage – But our experience is that it’s really hard to track human movement&nbsp;using cameras. You need clear lines of sight, and you’ll have lots of trouble tracking the fine movements of the fingers and hands.&nbsp;Even the most advanced image-based tracking systems, while capable of monitoring hands with minimal occlusion, fail to consistently track all joint movements. Consequently, the resultant data tends to be somewhat inconsistent and noisy.&nbsp;Alright, what about using motion capture?Motion capture systems, commonly employed in film production and sports science, operate by attaching easily visible markers to the individual, such as passive elements like white dots or active elements like pulsed LEDs. This method certainly helps with the accuracy of tracking. However, it doesn’t entirely overcome the previously mentioned issues related to occlusion. Additionally, calibrating the optical systems to an error margin of less than a few millimetres is quite challenging – which means that if the task involves intricate movements, such as rolling a pen between fingers, it’s likely it’ll miss a lot.&nbsp;&nbsp;Okay. I need it to be accurate, what’s my best option then?For precise human movement tracking, your best bet is to use a tight-fitting movement-tracking&nbsp;<a href="https://www.shadowrobot.com/shadow-hand-glove/" target="_blank">glove</a>. This glove can incorporate a multitude of techniques to achieve such a feat, some even providing additional features to assist the operator (and some that make it more difficult for the operator). For instance, some gloves can relay a sense of weight, touch, or stiffness, all functionalities grouped under the term ‘haptics.’ The realm of haptics is broad, including diverse technologies from ultrasound devices transmitting signals to fingers, electrical skin stimulation, vibrating piezoelectric elements, to inflating air balloons, miniature motors, or linear actuators, among many others.Gloves that measure human hand movement can do it by utilising:<ul><li dir="ltr">Sensors that fit around the joints and track the specific movement of the joint</li><li dir="ltr">Mechanical linkages that go from one end of the finger to the other and track the whole movement of the finger</li><li dir="ltr">Inertial sensors (that clever combination of accelerometer, gyroscope and possibly magnetometer) - worn at various points on the hand to follow the movement</li><li dir="ltr">Wireless measuring sensors - detecting the location of the fingers relative to a source worn on the hand somewhere.</li><li dir="ltr">Cameras that look away from the hand and track the movement of the world. (I’m not sure I’ve seen this one used in anger but I’m sure it’s possible!)</li></ul> Even then several variations of these technologies exist. For instance, some sensors measure the flex of a glove, correlating it to joint movement. Other types of sensors stretch and track their own deformation to gauge distance. Occasionally, mechanical linkages are placed over individual joints for precise motion tracking.&nbsp;Each of these methods presents a unique approach to capturing and interpreting human movement<h3 id="isPasted">Our experience:</h3>From our extensive experience, we have found that accurately measuring the mechanical properties of the human hand can be challenging, as it often leads to significant inaccuracies. The placement of the measurement sensor is crucial, and unfortunately, the potential for slippage is high – gloves and similar apparatus tend to shift excessively, complicating the data collection. Relating the measurements to the actual rotation of a finger joint’s axis, especially the thumb, is another daunting task!<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjk3NTM2Nzk3ODE3LWxvbmcgLSBQb2xoZW11cyAmIFNoYWRvdyAoMTkyMCB4IDEwODAgcHgpLmpwZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 766px;" class="fr-fic fr-dib">Mechanical linkages, although valuable, can quickly become cumbersome. There is also a risk that they could discomfort the operator to the point where task completion becomes impossible (too heavy, too rigid etc). Inertial sensors present a viable option; however, (once again) preventing them from drifting is generally difficult, and the precision level they offer often falls short of what we needWe have found that wireless measurement sensors, particularly those from&nbsp;<a href="https://www.shadowrobot.com/shadow-robot-polhemus/" target="_blank">Polhemus</a>, give us excellent results. These sensors entail a transmitting source worn on the palm and receivers located at the fingertips, providing us with high-quality data for hand movement tracking. However, there remains the challenge of locating the hand within the wider three-dimensional space. For this, we have found that the HTC Vive is an excellent solution and so you will often see the Vive tracker featured in our demonstrations.Now – what we want is to accurately know where to put the robot hand – which isn’t quite the same thing as knowing accurately where the human hand is. We have to take the data from the human hand and map it to the robot hand. This is a kinematic challenge – the movements of the human and the movements of the robot don’t agree entirely, and we need to convert one to the other. The best method for mapping human data to a robot hand will depend on the specific application. For example, if you need to control a robot’s hand in real-time, then direct mapping may be the best option. If you are only interested in controlling a robot’s hand for offline analysis, then inverse kinematics or hybrid mapping may be more feasible options. Needless to say, the more complex the robot the more challenging this becomes. Lucky for us complex robots are a speciality at Shadow!&nbsp;So, the human wears a set of gloves, and they control the robot to do the task. After completing a few rudimentary training tasks the operator gets the hang of the process and they are doing it pretty well. What do we do to learn from this?We can precisely monitor the instructions sent to the robot and reproduce them. This is ideal when operating in a controlled environment where all variables remain consistent – a scenario commonly found in an automation setting within a quality assurance laboratory. In the past, we employed this technique to build a functional robotic kitchen. While it allows you to execute repetitive tasks, it lacks the ability to cope with variation.We can capture and analyze data from numerous tests, assessing them for consistency. If the results are largely similar, they can be directly applied. However, if they vary a lot, we can delve into our algorithm toolbox to try and understand these discrepancies. This is where it helps to have a <a href="https://www.shadowrobot.com/artificial-intelligence-machine-learning/" target="_blank">wide range of data</a> from <a href="https://www.shadowrobot.com/dexterous-hand-series/" target="_blank">the robot</a>, from force, <a href="https://www.shadowrobot.com/shadow-robot-11-lessons-about-tactile-sensors/" target="_blank">touch</a>, and joint sensors. The question arises: Can we employ data from vision, such as cameras aimed at the work area, to discern what’s different? To be effective, this vision data needs to be synchronized with the robot sensor data, necessitating a shared framework for all data streams.We can gather data from multiple tests and use it by “Feeding it to the AI” – meaning use it to instruct a machine learning system on how to replicate similar movements from similar data.This can be done in several ways.We might train a traditional learning model on the datasets so that similar inputs generate similar outputs. Alternatively, if we have enough data, we could use a transformer model to generate movements. We can even break down the data into smaller segments and train a network to assemble these fragments into the correct sequences.Given the impressive capabilities of modern machine learning systems in generating text, images, video, and even code, this approach appears highly promising – and it’s only the beginning!So, does this sound like it could help with a problem that you face? If it does, then let’s have&nbsp;<a href="https://www.shadowrobot.com/blog/data-humans-to-robots/hand@shadowrobot.com" target="_blank">a chat to</a> see if the Shadow Robot team can help!

Humans excel at manual tasks, and ideally, robots should surpass us in these functions. We have the advantage due to our superior dexterity, and we can perform tasks that robots should, in theory, be capable of.
As we advance robotics our goal is to effectively transfer our human skills to robots.

Getting Data from Humans to Robots

There are many robot arms on the market, and you&rsquo;re probably familiar with a few. Your modern cobot ranges in cost from &euro;25k to &euro;200k &ndash; and that is for something with 6 or 7 degrees of freedom (DoF). So you might say &ldquo;&euro;4k-&euro;14k per DoF&rdquo; and use that as a &ldquo;rule of thumb&rdquo; to price off-the-shelf commercial robots.There are plenty of people with very low-cost robot hands and arms out there &ndash; if you&rsquo;re a hobbyist or you love to prototype, then that&rsquo;s where you should go! A quick look online finds 3d printed structures for a few tens or hundreds of Euro to print, although you still have to supply valves and compressors and electronics and maybe sensing. A fun project for a hardware developer! Then there are some cool hobbyist complete systems &ndash; I can find a 6DoF robot arm on Amazon for &euro;120 today, which would be great for teaching beginners the fundamentals of robot operation.But if you&rsquo;re planning to do work with the robot, then you want a complete system. And you want something that will lift a few kilos, has the sensors and motors to move with precision and speed across a decent set of kinematics, has safety circuits and controls built in, and supports the &ldquo;mechanical engineering&rdquo; interfaces allowing you to build it into your lab properly. Suddenly you&rsquo;re back to &ldquo;it&rsquo;s going to be a 5 figure sum&rdquo;. And there are good reasons for that &ndash; you&rsquo;re getting something with mechanical strength, highly engineered sensors, motors and gearboxes, and sophisticated control systems to make it work.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjk0NzcwMTg4NzE4LVVudGl0bGVkICgyOTcgw5cgMjEwbW0pICgyMDAgw5cgMjAwbW0pICgzMDAgw5cgMTAwbW0pLnBuZyIsImVkaXRzIjp7InJlc2l6ZSI6eyJ3aWR0aCI6OTUwLCJmaXQiOiJjb3ZlciJ9fX0=" style="width: 766px;" class="fr-fic fr-dib"> And then you&rsquo;re going to want documentation, software interfaces, and support when it doesn&rsquo;t do what you want.Don&rsquo;t get me wrong &ndash; that isn&rsquo;t because you bought something that wasn&rsquo;t up to the job. Most support tickets in robotics come with one of two sentences at the start: &ldquo;I was doing &hellip; and it broke&rdquo; or &ldquo;How can I get it to do &hellip;&rdquo;. And we&rsquo;ve seen enough robot arms slam things into tables to know that breaking things is part of the game here &ndash; honestly, if you&rsquo;re not breaking the odd robot you&rsquo;re probably not doing research at the frontiers!So that&rsquo;s a real, commercial robot arm. Assume &euro;5k per DoF for a generic cobot, and maybe &euro;8-10k if you&rsquo;re getting something really amazing. Even the dinky 6DoF arm we use in one of our production processes was &euro;17k for 6DoF (to be fair to it, the precision is really impressive, but it&rsquo;s still shoebox-size).However, <a href="https://www.shadowrobot.com/" target="_blank" rel="noopener noreferrer">Shadow Robot</a> isn&#39;t in the robot arm business. We make what the marketing people politely call &ldquo;end of arm tooling&rdquo;. This space ranges from welding guns to lasers, from two jaw grippers to vacuum suckers, and right the way over there &mdash;&gt; robot hands. And according to the good people at the International Federation of Robotics, adding EoAT and the other parts needed to make it work can triple the price of a robot arm!A simple gripper that opens and closes without any fine movement control, without force sensing and without position sensing might well be included in the price of the cobot. Lots of companies do that and it works well for their customers. But we&rsquo;re here for data. We want precise control. We want to be able to move each fingertip independently and position it accurately in space with respect to the other fingertips.In short, we want a robot hand where each finger behaves like a small robot arm &ndash; and we want all that complexity and performance in something 10x smaller! What would that cost? Well, &euro;5k per DoF gets us to &euro;100k for 20DoF &hellip; and the price for the full Shadow Hand Plus today is &hellip; &euro;110k including shipping, installation, training and support!Of course, we can make simpler Hands with fewer degrees of freedom &ndash; and fewer fingers &nbsp;&ndash; and these go right down to a 2-finger 7DoF system which is more like &euro;45k including shipping, installation, training and support. You can see the full range <a href="https://www.shadowrobot.com/dexterous-hand-series/" target="_blank">here</a>, and if you want to talk to us about getting one, then <a href="https://www.shadowrobot.com/contact/" target="_blank" rel="noopener noreferrer">get in touch</a>!&nbsp;

Spending your hard-earned budget on a robot is a step you don’t want to take lightly, Any worthwhile robot is likely to represent a significant piece of capital equipment.

So, let’s take a look at some hardware and what you might expect to pay for.

How Much does a Robot Hand Cost?

The spread of COVID-19 has changed how we live and work. With no choice but to restrict movement and reduce how often we meet others, we have moved many of our activities from the physical world to a virtual one. For many people, it seems only natural now to use remote technology to meet with friends, take classes, and have meetings. Although remote work has become more commonplace, there are still many jobs that must be done in person<h1 dir="ltr">Expanding the scope of remote work using VR/AR and 5G technologies</h1>This use of virtual environments will likely continue even after the COVID-19 pandemic is over. This is especially true in business. There are several reasons why.&nbsp;First, many people who thought online meetings would never work have realized that they in fact, do work&mdash;and can even be more productive than face-to-face meetings. Having meetings online can reduce the number of business trips taken and can also reduce cost and time. This means meetings can be held for more people.&nbsp;Second, people disinclined to make use of ICT have been forced to make use of remote technologies, and this has helped to provide them with relevant skills. Working with remote technology has helped to eliminate disparity in ICT literacy and skills.&nbsp;Finally, governments across the world continue to promote diverse working environments, and remote work is a great way to realize this goal. Remote work will also help support society and the people working within it as it becomes more established.Some companies that have observed these trends have begun to revise their HR systems and reduce the sizes of their offices, under the assumption that remote work already plays a central role in business.Although many tasks such as office work and preparing documents and materials can be performed remotely without issue, there are still many tasks that must be done on-site. Remote work is simply not an option in these cases. This is especially true at manufacturing sites.<h1 dir="ltr">Making full use of 3D CAD modeling to streamline VR/AR design work and maintenance</h1>Manufacturing companies have begun making use of technologies such as virtual reality (VR), augmented reality (AR), and IoT as new means of communicating information in situations that previously could not work remotely, such as equipment maintenance and product design.It has become possible in recent years to design all sorts of industrial products, equipment, and facilities using 3D CAD. This technology has been making tremendous progress. The individual parts of devices are now individually designed as 3D models, which can be assembled and even manipulated on a computer. This means that products can now be manufactured and tested, with no need to build a physical prototype.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjczMjAyMDA5ODAzLVZpcnR1YWxfUmVhbGl0eS5fKFVuc3BsYXNoKS5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" width="720" height="453" class="fr-fic fr-dii">Fig. 1: Data from CAD tools can be shared and reviewed virtually in real-time. When developing an industrial product (such as an automobile or electronic device) or designing a building or other structure, personnel such as product planners, salespeople, designers, and production engineers will meet to review the product. Until recently, this involved gathering all these individuals in the same room to discuss a physical prototype created especially for this purpose. Now, experts in remote locations can share 3D model data and then use head-mounted displays to manipulate and disassemble these models, allowing them to review a product just as though they were in the same room with it&mdash;or, perhaps in even more detail.<img data-fr-image-pasted="true" src="https://upload.wikimedia.org/wikipedia/commons/1/16/Oil_rig_Jan_23.jpg" style="width: 300px;" class="fr-fic fr-dib">Fig. 2: Digital twin technology can be used to create a 3D model of how technologies appear and operate. Image credit: Eugene.AI.When designing manufacturing equipment or a machine tool, 3D data can be placed within a virtual production line that has also been modeled, allowing designers to verify that everything works together and operates safely&mdash;before even setting it up on-site.These 3D models can also be used after the equipment has been actually installed on-site, in order to streamline work. AR can be used when maintaining equipment or facilities at a site to display technical information from the 3D model overlaid over the actual equipment, allowing for complicated tasks to be performed without error.Sensors could also be installed on actual equipment. Data from these sensors could be imported to a 3D model on a server for use by the maintenance department or manufacturer, in order to create a digital copy that looks and operates exactly like the actual equipment on site. This so-called &quot;digital twin&quot; technology can be used to predict equipment failures or even simulate the impact of changing production conditions on factors such as throughput and durability.However, using technologies such as VR, AR, and IoT requires a low-latency network capable of transmitting a large amount of data quickly between work sites and offices, as well as homes for remote work. 5G, a fifth-generation mobile communication system, is expected to play a major role in making this possible.<h1 dir="ltr">Using robots to provide a sense of presence to remote communication</h1>As remote work becomes mainstream, it is becoming clear that this technology offers many unique benefits for office work. However, that doesn&#39;t mean that it provides the same level of communication as meeting face-to-face. Remote work technology is still in its infancy.For example, many people might feel that something is slightly off when participating in a remote meeting, brainstorming session, or product review. You might think that using a videoconferencing system would allow you to easily see how everyone reacts to a statement since you can see everyone on the screen. In reality, participants can often have trouble seeing how people react and are often not confident that their message is getting across. Online meetings have shown us that we rely on more than mere words and expressions to communicate.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjczMTk5NjkxOTM2LTE2NzMxOTk2OTE5MzYucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" width="720" height="480" class="fr-fic fr-dii">Fig. 3: Video conferencing has become a routine tool for work. In some situations, not being present in person can cause issues with communication.This feeling that something is somehow off during remote meetings is a shared sentiment among people all over the world. In order to resolve current issues with using remote communication tools, companies and other organizations have begun implementing advanced communication technologies utilizing ICT which is still in the development stages. We are also seeing some attempts to use the latest in ICT and robotic technology to bring a sense of presence to remote meetings and customer service situations.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjczMTk5Njg5ODA0LTE2NzMxOTk2ODk4MDQucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" width="720" height="959" class="fr-fic fr-dii">Fig. 4: Telepresence robots with a tablet make remote conversations feel more natural.&nbsp;In the US, simple robots called telepresence robots are already being used by large companies, hospitals, schools, and other organizations as a means of communication. Telepresence robots are very simple-looking robots consisting of a tablet installed on a mobile vehicle. The tablet is used to display the face of the person speaking through the robot. The speaker can operate and move the robot remotely, allowing them to change the robot&#39;s facing while communicating with others in video chat.It seems too simple to work, but you might be surprised to know that these robots can provide a greater sense of presence than simply using a tablet for video chatting.The individual operating the robot can control it remotely, such as moving it around or changing its facing. When a tablet alone is used for communication, it is the other person who determines what you see. With a telepresence robot, the opposite is true. When speaking with multiple people, the operator of the robot can move the robot to face whomever they want to speak with. This could be of use in a variety of situations to make communication more active, such as moving around an exhibition to visit certain booths or seeking out certain individuals at a party or similar situation.It can also be helpful for others to see such a robot moving around, which can provide a greater sense of the operator of the robot actually being there. All in all, this technology makes it possible for others to not only see your face and hear your voice, but to watch your robot react and move&mdash;and therefore more easily determine whether you are really paying attention!<h1 dir="ltr">Remote robots as a means to go anywhere, instantly</h1>The technology of telexistence brings telepresence to the next level. This technology promises to provide an even higher level of communication, in which an individual remotely controls a robot called an avatar that reproduces the operator&#39;s movements and five senses. It is a concept advocated by Susumu Tachi, Professor Emeritus of the University of Tokyo.[1]<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjczMjAwOTQzNDY1LTE2NzMyMDA5NDM0NjUucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" width="720" height="519" id="isPasted" class="fr-fic fr-dii">Fig. 5: Telepresence takes the capabilities of telexistance devices to the next level by letting us remotely controls a robot&rsquo;s movements and five senses.With telepresence, the operator uses a controller or other device to consciously move a robot. With telexistence, however, sensors are used to detect the operator&#39;s movements and remotely control the robot without any conscious action on the part of the operator. Installing a camera on the robot to feed video to a head-mounted display (HMD) worn by the operator could therefore bring more immersion to remote communication and work. Haptic technology could also be used to provide the operator with a sense of touch mirroring that of the robot for an even greater presence and sense of immersion.In addition to workplaces, telepresence technology could be used for virtual tourism and even in healthcare facilities. Imagine a world where avatar robots are as common as shared bicycle stands. You could take control of such a robot through the Internet and be transported instantly to a tourist spot or other remote location.<h1 dir="ltr">Conclusion</h1>Remote technologies have traditionally served as secondary options for life and work, used only when traveling to a physical location or meeting face-to-face is not possible. This was true even at the start of the COVID-19 pandemic. However, we may soon see a world where remote work becomes predominant, with face-to-face meetings conducted only when absolutely necessary.The remote technologies described here will continue to advance as this comes closer to reality. It seems likely that we will ultimately take the use of such technologies for granted, as we develop means of communicating and working that would not be possible except in remote environments. We will increasingly enter a future in which robots are used to communicate closely with others&mdash;and to experience many things previously not possible.<h2 id="isPasted">About the sponsor: Murata</h2>Murata is a global solution provider and the market leader in the design, manufacture, and supply of advanced, leading-edge electronic components, and multi-functional modules. Murata contributes to the advancement of society and the electronics industry, in close cooperation with its customers and other stakeholders. Their European HQ is based in the Netherlands. &nbsp;&nbsp;<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjc0MTIxOTIwNDU4LW11cmF0YSBsb2dvIGJvdHRvbS5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 300px;" class="fr-fic fr-dib"> <h1 dir="ltr">References</h1>[1] Susumu Tachi, Telexistence, [Online], Available from: <a href="https://tx-inc.com/en/susumu-tachis-bio/" target="_blank">https://tx-inc.com/en/susumu-tachis-bio/</a><hr id="isPasted"><img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjg1MDg2NjcyNTM4LTE2ODUwODY2NzI1MzgucG5nIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" class="fr-fic fr-dii">If you have any questions based on this article that you would like to discuss with an expert at Murata, don&#39;t hesitate to reach out. There&#39;s an entire team ready to support you with your question.<a class="button-main-action" href="https://www.murata.com/en-eu/contactform?&Detail=Wevolver%20request" rel="noopener noreferrer" target="_blank">GET IN TOUCH</a><hr>

Immersive technologies and high-speed telecommunication standards are enabling new ways to work remotely.

Expanding the scope of remote work using VR, AR and 5G

In this episode, we talk about how ostriches are inspiring a new generation of bipedal robots and the innovation enabling remote endovascular surgery. As always, you can find these and other interesting &amp; impactful engineering articles on Wevolver.com.<iframe height="200px" width="100%" frameborder="no" scrolling="no" seamless="" src="https://player.simplecast.com/e2238814-9212-4010-afb6-ac48d637140f?dark=false" class="fr-draggable" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true"></iframe><hr>This podcast is sponsored by <a href="https://www2.mouser.com/" id="isPasted" rel="nofollow" target="_blank">Mouser Electronics</a>.&nbsp;<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1651565842197-Mouser-sponsor-1-a.jpg" style="width: 766px;" class="fr-fic fr-dib"><hr>(0:50) -&nbsp;<a href="https://www.wevolver.com/article/birdbot-a-3d-printed-bipedal-robot-offers-major-efficiency-gains-through-avian-biomimicry" target="_blank">Using Bird Biology To Make Efficient Walking Robots</a>(20:45) -&nbsp;<a href="https://www.wevolver.com/article/joystick-operated-robot-could-help-surgeons-treat-stroke-remotely" target="_blank">Joystick-operated Robot For Treating Strokes</a>Episode 68 was brought to you by Mouser Electronics, Farbod &amp; Daniel&rsquo;s favorite electronics distributor. Click <a href="https://www.mouser.com/applications/future-robotics-singularity/" target="_blank">here</a> to read the article discussing the merger of technology and humanity.<hr>About the podcast:Every day, some of the most innovative universities, companies, and individual technology developers share their knowledge on Wevolver. To ensure we can also provide this knowledge for the growing group of podcast listeners, we started a collaboration with two young engineers, Daniel Scott Mitchell &amp; Farbod Moghaddam who discuss the most interesting content in this podcast series.&nbsp;To learn more about this show, please visit the <a href="https://www.wevolver.com/profile/the.next.byte" target="_blank">shows page</a>. By following the page, you will get automatic updates by email when a new show is published.Be sure to give us a follow and review on <a href="https://podcasts.apple.com/nl/podcast/the-next-byte/id1548255861?l=en" rel="nofollow" target="_blank">Apple</a> podcasts, <a href="https://open.spotify.com/show/6lPPsRtegnivsRUEsQ09R7?si=IPMiah7xT_apJtPjqvXMlA" rel="nofollow" target="_blank">Spotify</a>, and most of your favorite podcast platforms!Take a few seconds to leave us a review. It really helps! <a href="https://apple.co/2RIsbZ2" rel="nofollow" target="_blank">https://apple.co/2RIsbZ2&nbsp;</a>if you do it and send us proof, we&rsquo;ll give you a shoutout on the show.

The prototype motorized BirdBot, seen here with legs in the locked position, uses a quarter the energy of its immediate predecessor.

In this episode, we talk about how ostriches are inspiring a new generation of bipedal robots and the innovation enabling remote endovascular surgery. 

Podcast: Bird-inspired Bipedal Robots & Robotic Surgeons

The warm feeling of being hugged is known to have a number of positive effects &mdash; and humans are far from the only creatures to enjoy social touch. Robots, meanwhile, are traditionally cold, sterile, and not entirely cuddly &mdash; at least, outside the realm of children&rsquo;s entertainment.But what if a robot could deliver a satisfying hug? That&rsquo;s the question asked by Alexis E. Block and colleagues in the HuggieBot project, with results from a third-generation study having just been accepted for publication. Such a machine could provide comfort to the lonely, have potential medical benefits in care settings, or act as a surrogate when people simply can&rsquo;t be together in person, as has been so common during the ongoing pandemic.Enter HuggieBot 3.0, claimed by its creators to be &ldquo;the first fully autonomous human-sized hugging robot that recognizes and responds to the user&rsquo;s intra-hug gestures.&rdquo;<h1>The birth of HuggieBot</h1>Work on the original HuggieBot began in 2016, when Block was studying for a Master&rsquo;s degree in robotics. The idea: Providing the ability to send a hug anywhere in the world, but in a manner which feels natural and enjoyable &mdash; following what Block and colleagues would come to call the &ldquo;six commandments&rdquo; of robotic hugging, a series of design guidelines which included the need for such a robot to be soft, warm, human-sized, and able to autonomously enter into and exit from an embrace.HuggieBot 2.0, put into testing in 2020, took the concept a stage further by using visual and haptic perception to deliver adaptive hugging in closed-loop system, but it wasn&rsquo;t until HuggieBot 3.0 that the machine would gain a key feature: The ability to autonomously detect, and reciprocate, &ldquo;intra-hugging gestures&rdquo; through a probabilistic behavior algorithm &mdash; the creation of which contributed an additional five new design guidelines, on top of a revision to one of the original six.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjUxMDA4ODg5NTI0LWh1Z2dpZTQuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 300px;" class="fr-fic fr-dib" alt="An image of the HuggieBot robot embracing a researcher; its arms, covered in soft fabric, are seen holding the researcher as the researcher leans in to the hug. A screen on the head shows a smiling cartoon face; a skirt is seen to the bottom of the picture, hiding a framework which gives the robot its human-like height.">Built using off-the-shelf robot arms with added soft padding, an inflatable and warmed chest area, and given a welcoming face, HuggieBot is an undeniably huggable robot.In its tested incarnation, HuggieBot 3.0 incorporates a custom sensing system dubbed HuggieChest which uses two inflated chambers of polyvinyl chloride to provide a soft surface. As a hug takes place a barometric pressure sensor and microphone serve to detect human touch, transmitting data via an Arduino Mega microcontroller board to a Robot Operating System (ROS)-based computer located in the robot&rsquo;s 3D-printed head &mdash; behind a display which provides a friendly and welcoming animated visage.The robot&rsquo;s own hugs, meanwhile, are delivered using a pair of Kinova JACO arms, mounted to a custom metal frame and each with six degrees of freedom. &ldquo;These arms were selected for being anthropomorphic, quiet, and safe,&rdquo; the researchers explain. &ldquo;Their movement speed is limited in firmware, and they can be mechanically overpowered by the user if necessary.&rdquo;<h1>Hug autonomy</h1>Initially, the team&rsquo;s testing took place as a &ldquo;Wizard of Oz&rdquo; set-up &mdash; where a remote operator, not seen by participants, controlled the robot&rsquo;s motions. Once data had been gathered from 512 human trials across 32 participants, it was used to train a machine learning system capable of detecting and classifying a range of gestures carried out by humans during a hug and which the team classified into four key intra-hug gestures: Remaining still, moving vertically, tapping or patting on the back, and tightening hold in a squeeze.&ldquo;Rather than maximizing user acceptance for each robot gesture, which would result in the robot only squeezing the user,&rdquo; the researchers note, &ldquo;our behavior algorithm balances exploration and exploitation to create a natural, spontaneous robot that provides comforting hugs.&rdquo;<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjUxMDA4OTA1MjM5LWh1Z2dpZTIuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 300px;" class="fr-fic fr-dib" alt="Diagrams of the four &quot;intra-hug gestures&quot; defined by the research team: Remaining still, moving vertically, tapping or patting on the back, and tightening the hold in a squeeze.">The researchers developed a system for detecting, classifying, and responding to four key gestures using a pressure sensor and a microphone in the robot&#39;s torso.Further testing on 16 participants certainly seems to bear that claim out: Twelve of the users were found to hug the robot for longer, subjects declared that they felt &ldquo;significantly more understood&rdquo; by the robot, and stated that the revised robot was &ldquo;significantly nicer to hug&rdquo; in its new interactive form.Perhaps the biggest outcome of the work, however, is in its extension of the earlier &quot;commandments&quot;: The team revised a guideline on hug initiation, creating a new framework for inviting a potential participant and ensuring consent, while adding new guidelines on ensuring a hugging robot is capable of automatically adapting to the user&rsquo;s height in order to avoid some below-the-belt contact which occurred during HuggieBot 3.0&rsquo;s testing, adding a requirement for gesture detection and perception, improving the speed and variety of robot responses to said gestures, and having the robot proactively provide gestures of its own.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjUxMDA4OTE0MDUyLWh1Z2dpZTMuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 300px;" class="fr-fic fr-dib" alt="A flow chart for the HuggieBot 3.0, showing how the robot starts by waiting for a person then initiates a hug verbally, opens its arms, begins the hug, then responds to or initiates a range of intra-hug gestures with varying probability before releasing the user at the end.">HuggieBot 3.0&#39;s gesture classification system allows it to respond to hug participants in a number of ways, providing variety and offering a more realistic experience.There&rsquo;s more to the team&rsquo;s work than simply building a better hugging robot: The researchers point to the body of work showing the benefits to physical interaction between humans, and how it may be possible to deliver at least some of the those benefits using autonomous or remotely-controlled robotic surrogate &mdash; or, as part of future work on the platform, potentially generalize HuggieBot&rsquo;s capabilities to a robot which could provide companionship and assistance in care homes, helping to address concerns regarding an ageing population and a dearth of care workers.The team&rsquo;s work has been accepted in to the journal <cite><a href="https://dl.acm.org/doi/10.1145/3526110" target="_blank">ACM Transactions on Human-Robot Interaction</a></cite>, and has been made available in preprint form under free access terms.<h1>References</h1>Alexis E. Block, Hasti Seifi, Otmar Hilliges, Roger Gassert, and Katherine J. Kuchenbecker: <cite>In the Arms of a Robot: Designing Autonomous Hugging Robots with Intra-Hug Gestures, ACM Transactions on Human-Robot Interaction, Accepted February 2022</cite>. DOI <a href="https://doi.org/10.1145/3526110" target="_blank">10.1145/3526110</a>.Alexis E. Block, Sammy Christen, Roger Gassert, Otmar Hilliges, and Katherine J. Kuchenbecker: <cite>The Six Hug Commandments: Design and Evaluation of a Human-Sized Hugging Robot with Visual and Haptic Perception, Proceedings of the 2021 ACM/IEEE International Conference on Human-Robot Interaction</cite>. DOI <a href="https://doi.org/10.1145/3434073.3444656" target="_blank">10.1145/3434073.3444656</a>.

HuggieBot, with its soft pressure-sensing torso, 3D-printed animated head, and six-degree-of-freedom arms, is a research platform into high-quality autonomous hugging.

While the concept of a hugging robot may sound bizarre, the researchers behind the project — now in its third generation — believe that such a device could have a major impact on everything from social telepresence to elder care.

Intra-hug gestures prove key to making HuggieBot 3.0 the most cuddly robot around

In the not-too-distant future, autonomous, networked vehicles will be able to handle most tasks independently. However, they are not yet capable of dealing with all traffic situations. If they encounter a problem that they do not know how to solve, safety comes first. Most of the time this would mean pulling over to the side of the road and stopping. The German Aerospace Center (Deutsches Zentrum f&uuml;r Luft- und Raumfahrt; DLR) is conducting research into the teleoperation of these vehicles in order to resolve such situations safely and quickly in the future. In unclear situations, the autonomous vehicle can request teleoperation support from a technical supervisor.<h2>Teleoperation &ndash; a technological bridge and a legal requirement</h2>&quot;Teleoperation of autonomous vehicles serves as a bridge to bring existing technologies in the field of automation rapidly into use and onto the roads,&quot; says Michael Oehl of the <a href="https://www.dlr.de/SiteGlobals/Categories/Thesaurus/DLR-Institute/EN/_Research_facility/_DLR/_DLR_site_Berlin/Institute_of_Transportation_Systems.html" target="_blank" title="Institute of Transportation Systems">DLR Institute of Transportation Systems</a> in <a href="https://www.dlr.de/content/en/sites/braunschweig.html" target="_blank" title="Braunschweig">Braunschweig</a>. His team&rsquo;s work focuses on autonomous driving at SAE Level 4, where the automation takes over all of the driving tasks. The occupants do not have to intervene, even though this may remain possible using control elements such as steering wheels.Experts describe the different degrees of automation as SAE levels, based on the classification of systems for autonomous driving devised by SAE International (formerly the Society of Automotive Engineers), the organisation for mobility technology. This classification ranges from Level 0 to Level 5. At Level 0, the vehicle has no automation whatsoever. Level 5 equates to full automation, where the vehicle is completely autonomous and must be able to determine the overall driving behaviour under all circumstances. The occupants are simply passengers. Humans no longer have to intervene, not even by means of teleoperation. SAE Level 4 systems are not yet ready for everyday use, but the legal framework for using them does exist in a number of places, including Germany. The &#39;Autonomous Driving Act&#39; came into force in July 2021 and the rules were specified in greater detail in the &#39;Autonomous Driving Regulations&#39;. The law allows autonomous driving at SAE Level 4 on special routes or within defined areas such as airports, logistics centres and motorways. This opens up possibilities including transporting people or goods with driverless shuttles, for example. For operation and liability, teleoperation or technical supervision &ndash; as defined in the law &ndash; plays a decisive role.<iframe src="https://www.youtube.com/embed/4iF_8waO3Vw?&wmode=opaque&rel=0&enablejsapi=1&origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" style="width: 767px; height: 438px;"></iframe>Remote Assistance: A Key Enabler for Highly Automated Driving (SAE 4)Highly automated vehicles (SAE 4) are becoming ever more sophisticated. However, due to the sheer number of potential situations the vehicle may encounter, its automation is not yet capable of dealing seamlessly with all of them. Remote Assistance as a type of remote operation is a way to take care...Credit: &copy; DLR. All rights reserved<h2 id="isPasted">Focus on humans and automation working together</h2>&quot;We are at the beginning of development and have many ideas and concepts for making vehicle teleoperation safe and efficient,&quot; says Oehl. &quot;For now, we are concentrating primarily on the interaction between humans and automation, and on the design of the interface that this requires &ndash; the human-machine interface, or HMI for short. For example, we are looking at the form that a teleoperation workstation might take, what the job requires of people and how it has to be designed from the point of view of work and engineering psychology.&quot;<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1650451290642-teleoperation-workstation.jpg" style="width: 766px;" class="fr-fic fr-dib">Teleoperation workstation. Credit: &copy; DLR. All rights reserved<h2>The human factor &ndash; requirements and workplace design for teleoperation</h2>In future, several teleoperators equipped with monitors, user interfaces and headsets could sit together in a control centre, guiding autonomous vehicles at SAE Level 4 through difficult situations. Imagine a double-parked delivery vehicle, for instance. In such a scenario, a car will not drive over a solid line of its own accord but remain where it is. Similar situations can arise on construction sites that have not yet been incorporated into the system, so are not known to the automation system.Before they can grapple with these numerous scenarios, however, DLR&#39;s researchers still have to address a number of fundamental questions. What is the best way to map the vehicles for monitoring, and what information is needed? How many vehicles can a single person monitor and oversee on screen at the same time? What kind of live images can cameras in highly automated vehicles provide to help the technical supervisors make decisions? How long does it take to process a request for assistance on average? And how long does it take for operators to put themselves in the position of the vehicle and make a decision?&quot;Vigilance is particularly important in such monitoring tasks. In research, we use this term to describe a state of constant alertness. Even if nothing happens for a long time, you have to be able to react quickly when it does. Teleoperation workstations have to be specially designed in order to prevent a situation where people get distracted, switch off or start experiencing fatigue. Just like train drivers or flight controllers, these operators cannot be constantly overworked, but they must not be underchallenged either,&quot; says Oehl. In order to investigate these questions more closely in the context of the teleoperation of vehicles, the team has constructed such a workstation as a prototype. In this way, the researchers are investigating in a very application-oriented way what information teleoperators will require at their workstation in the future in order to be able to support autonomous vehicles with SAE Level 4 quickly and safely in situations that are unclear for the automation system.

Construction sites pose a challenge for autonomous vehicles. Credit: DLR (CC BY-NC-ND 3.0)

In the not-too-distant future, autonomous, networked vehicles will be able to handle most tasks independently. However, they are not yet capable of dealing with all traffic situations. If they encounter a problem that they do not know how to solve, safety comes first.

Teleoperation steps in when an autonomous vehicle does not know what to do

This article was discussed in our <a data-saferedirecturl="https://www.google.com/url?q=https://www.wevolver.com/profile/the.next.byte&source=gmail&ust=1651619086659000&usg=AOvVaw31M1Y-wsRw4c0h8-at-VxZ" href="https://www.wevolver.com/profile/the.next.byte" id="isPasted" rel="noopener noreferrer" target="_blank">Next Byte podcast</a>.&nbsp;<iframe height="200px" width="100%" frameborder="no" scrolling="no" seamless="" src="https://player.simplecast.com/e2238814-9212-4010-afb6-ac48d637140f?dark=false" class="fr-draggable" data-gtm-yt-inspected-1_19="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true"></iframe>The full article will continue below.<hr>This article was first published on <a href="https://news.mit.edu/2022/robot-stroke-treatment-remote-0413" id="isPasted" rel="noopener noreferrer" target="_blank">MIT News</a>. &nbsp;<hr>MIT engineers have developed a telerobotic system to help surgeons quickly and remotely treat patients experiencing a stroke or aneurysm. With a modified joystick, surgeons in one hospital may control a robotic arm at another location to safely operate on a patient during a critical window of time that could save the patient&rsquo;s life and preserve their brain function.The robotic system, whose movement is controlled through magnets, is designed to remotely assist in endovascular intervention &mdash; a procedure performed in emergency situations to treat strokes caused by a blood clot. Such interventions normally require a surgeon to manually guide a thin wire to the clot, where it can physically clear the blockage or deliver drugs to break it up.One limitation of such procedures is accessibility: Neurovascular surgeons are often based at major medical institutions that are difficult to reach for patients in remote areas, particularly during the &ldquo;golden hour&rdquo; &mdash; the critical period after a stroke&rsquo;s onset, during which treatment should be administered to minimize any damage to the brain.The MIT team envisions that its robotic system could be installed at smaller hospitals and remotely guided by trained surgeons at larger medical centers. The system includes a medical-grade robotic arm with a magnet attached to its wrist. With a joystick and live imaging, an operator can adjust the magnet&rsquo;s orientation and manipulate the arm to guide a soft and thin magnetic wire through arteries and vessels.The researchers demonstrated the system in a &ldquo;phantom,&rdquo; a transparent model with vessels replicating complex arteries of the brain. With just an hour of training, neurosurgeons were able to remotely control the robot&rsquo;s arm to guide a wire through a maze of vessels to reach target locations in the model.&ldquo;We imagine, instead of transporting a patient from a rural area to a large city, they could go to a local hospital where nurses could set up this system. A neurosurgeon at a major medical center could watch live imaging of the patient and use the robot to operate in that golden hour. That&rsquo;s our future dream,&rdquo; says Xuanhe Zhao, a professor of mechanical engineering and of civil and environmental engineering at MIT.Zhao and his team have <a href="https://www.science.org/doi/10.1126/scirobotics.abg9907" target="_blank">published their findings</a> today in Science Robotics. MIT co-authors include lead author Yoonho Kim, Emily Genevriere, and Jaehun Choe, along with Pablo Harker, Robert Regenhardt, Justin Vranic, Adam Dmytriw, and Aman Patel at Massachusetts General Hospital (MGH), and Marcin Balicki of Philips Research North America.<iframe src="https://www.youtube.com/embed/IYlHl6h8lm4?&wmode=opaque&rel=0&enablejsapi=1&origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" style="width: 767px; height: 427px;" data-gtm-yt-inspected-1_19="true" id="391874016"></iframe><h2 id="isPasted">Tilt and twist</h2>Endovascular surgery is a specialized, minimally invasive procedure that involves carefully twisting and guiding a thin medical wire through the body&rsquo;s arteries and vessels to a target location, in a way that avoids damaging vessel walls. The procedure typically requires years of training for a surgeon to master.Robotic systems are being explored as assistive technologies in endovascular surgery. These systems mainly involve motor drives that advance and retract a wire while twisting it through the body&rsquo;s vasculature.&ldquo;But having a robot twist with the same level of sophistication [as a surgeon] is challenging,&rdquo; Kim notes. &ldquo;Our system is based on a fundamentally different mechanism.&rdquo;The team&rsquo;s new system builds on <a href="https://news.mit.edu/2019/robot-brain-blood-vessels-0828" target="_blank">work from 2019</a>, in which they demonstrated steering a magnetically controlled thread through a life-sized silicone model of the brain&rsquo;s blood vessels. They did so at the time using a handheld magnet, about the size of a soup can, that they manually manipulated.They have since affixed the magnet to the end of a medical-grade robotic arm, which can be steered using a small joystick knob on a mouse. By tilting the joystick, researchers can tilt the magnet in an orientation that a magnetic wire can follow. Buttons on the mouse control a set of motorized linear drives, which advance and retract the wire to make it move forward and back.The wire is as thin and flexible as a conventional neurovascular guidewire, with a soft, magnetically responsive tip that follows and bends in the direction of a magnetic field.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNjQ5OTIzNDk1NTU1LU1JVC1Sb2JvLVN0cm9rZS0wMi1wcmVzcy5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 766px;" class="fr-fic fr-dib">The MIT team envisions that its robotic system could be installed at smaller hospitals and remotely guided by trained surgeons at larger medical centers. Courtesy of the researchers<h2>Finding a path</h2>The team tested the robotic system in MGH&rsquo;s Catheter Lab &mdash; an operating room with standard medical imaging equipment used in endovascular procedures. The researchers installed the robotic arm in the lab, along with a life-sized silicone model of blood vessels. They set the joystick, along with a monitor displaying a live video of the model, in a control room. From there, an operator watched the video while using the joystick to remotely steer the wire through the vessels.The team trained a group of neurosurgeons to use the robotic system. After just one hour of training, each surgeon was able to successfully operate the system to guide the wire through complex vessels that are difficult to navigate with a manual guidewire.The team also used the robotic system to clear simulated clots in difficult-to-reach areas in the model. They steered the guidewire through vessels, and around sharp corners and turns, to reach regions where the researchers simulated clots. Once they guided the wire to the clot, the surgeons proceeded with standard endovascular methods to thread a microcatheter along the wire to the site of the clot. They retracted the wire, leaving the catheter, which they then applied to successfully remove the clot.&ldquo;The primary purpose of the magnetic guidewire is to get to the target location quickly and safely, so that standard devices like microcatheters can be used to deliver therapeutics,&rdquo; Kim says. &ldquo;Our system is like a pathfinder.&rdquo;He hopes that the teleoperated system can help more patients receive time-critical treatment. He also sees benefits for surgeons, who typically perform such vascular procedures in the same room as the patient, while being exposed to radiation from X-ray imaging.&ldquo;The neurosurgeons can operate the robot in another room or even in another city without repeated exposure to X-rays,&rdquo; Zhao says. &ldquo;We are truly excited about the potential impact of this technology on global health, given that stroke is one of the leading causes of death and long-term disability.&rdquo;<hr>&quot;Reprinted with permission of <a href="https://news.mit.edu/2022/robot-stroke-treatment-remote-0413" id="isPasted" rel="noopener noreferrer" target="_blank">MIT News</a>&quot;&nbsp;

MIT engineers developed a telerobotic system to help surgeons remotely treat patients experiencing stroke or aneurysm. With a modified joystick, surgeons may control a robotic arm at another hospital to operate on a patient. Courtesy of the researchers

The system could provide teleoperated endovascular treatment to patients during the critical time window after a stroke begins.

Joystick-operated robot could help surgeons treat stroke remotely

The Robot Teleoperativo is a new robotics result achieved at IIT-Istituto Italiano di Tecnologia and combining the rugged locomotion of HyQReal robot with dexterous and powerful manipulation assured by a new robotic arm, controlled by immersive VR visualization and haptic teleoperation. It represents a significant contribution to the state-of-the-art robotics dedicated to intervention on unstructured, difficult terrain environments, requiring powerful capabilities. The human operator can always be in control, not being replaced by the robot but substituted and assisted by it, in the case of situations where humans may be exposed to risks for their health, such as disaster response or emergency in nuclear, marine, chemical, oil-&amp;amp;-gas, environments.In a new video, researchers show the achieved results: the Robot Teleoperativo is able to open doors, access fire equipment, gather precious items, navigate in the dark, and walk over difficult terrain. The video will be showed during the international conference ICRA 2021, on May 31st.With the effective execution of such tasks, albeit in simulated lab setup scenarios, the three years of developmental research in the Robot Teleoperativo project has shown that although the challenge of substituting human workers is a difficult one, it is certainly not an insurmountable one.The project is a result of the close collaboration between IIT-Istituto Italiano di Tecnologia and INAIL (Italian National Worker’s Compensation Authority). The 3-year project started in 2017 with an aim to enhance occupational safety and health (OSH) in demanding and dangerous occupations. The goal was to keep the worker who is engaged in high-risk interventions in demanding environments, at the core of the development; researchers worked with firefighters to define specific needs and they will further explore the use of Robot Teleoperativo in realistic scenario.Robot Teleoperativo consists of two modules, the field robot and the pilot station. The field robot integrates the versatile locomotion of the HyQReal hydraulic quadruped robot with the dexterity and power of the INAIL-IIT multi-degrees-of-freedom (DOFs) robotic arm. At the pilot station, the 6-DOF haptic teleoperation device REMOTArm, including the 3-finger HEXOTrAc-Plus hand exoskeleton, combines with the 3D virtual reality (VR) based intuitive, information-rich interface for perception, interaction, and teleoperation. The field-pilot&nbsp;combination offers an immersive telepresence experience to the operator (worker), allowing them to project their actions to and perceive the information from the remote environment through the field robot.The HyQReal quadruped, with its 90 cm height, 133 cm length, and 130 kilograms of weight, demonstrated in 2019 being able to develop sufficient force to tow a passenger plane of over three tons. With its advanced locomotion, the HyQReal is capable of navigating difficult terrain, characterized by slopes, stairs, or debris, with a degree of mobility far greater than in the case of wheeled or tracked vehicles. The HyQReal is equipped with a variety of cameras and multimodal sensors for real-time environment perception.INAIL-IIT arm is a robotic manipulator with strength and dexterity. The 5-DOF serial robotic arm provides the ability to interact with, and manipulate the environment with robustness, precision, and power. It is about 1.0m in length, and has a 4 kg payload capacity. Its 5 joints integrate compact and lightweight, torque controlled actuators, which allow the manipulator arm to operate in position and / or torque-control depending on the task. The HERI II robotic hand, with its multi-finger configuration, combines strength and dexterity for grasping heavy as well as delicate objects.REMOTArm is the haptic teleoperation pilot interface for precise tele-manipulation. The REMOTArm is a desk-mounted, 6-DOF, haptic teleoperation device. It tracks the position and orientation of the operator’s wrist with high accuracy, and offers a much larger workspace than similar commercial devices. It provides 3-DOF force feedback at the wrist (&gt; 20N). The 3-finger HEXOTrAc-Plus hand exoskeleton is an ergonomic haptic glove that accurately tracks the operator’s gestures when tele-manipulating the field manipulator. Its actuators can display the remotely sensed interaction forces (&lt; 10 N) to the user at the robotic hand as they happen. The interface is lightweight, easy-to-wear, and includes gravity compensation for user comfort.The operator uses a VR system for an immersive 3D perception of the remote environment. The user interface, using commercial head-mount display devices and VR software, makes for an intuitive and effective real-time projection of the field of action for the remote operator. Using the multimodal vision, depth, and ambient sensing system on-board the field robot, the interface “reconstructs” the remote field context for the operator, providing an information-rich interface for perception, interaction, and control.This successful outcome has encouraged researchers to push the boundaries of technological innovation further. IIT and INAIL continue their close collaboration in this field aiming at expanding the possibilities in remote telerobotics research and its transition from the lab to the real hazardous work environments.<hr>Further informationThe research study was coordinated by Nikhil Deshpande, Researcher at IIT’s Advanced Robotics Line, and involved the research groups led by Claudio Semini (for HyQReal), Nikolaos Tsagarakis (for manipulation) and Ioannis Sarakoglou (for teleoperation) at IIT in Genova (Italy).&nbsp;Website: <a href="https://advr.iit.it/projects/inail-scc/teleoperazione" target="_blank">https://advr.iit.it/projects/inail-scc/teleoperazione</a>

The Robot Teleoperativo is a new robotics result achieved at IIT-Istituto Italiano di Tecnologia and combining the rugged locomotion of HyQReal robot with dexterous and powerful manipulation assured by a new robotic arm, controlled by immersive VR visualization and haptic teleoperation.

The new IIT's "Robot Teleoperativo" (teleoperation robot)

In this webinar (July 2020) we take the first public in-depth look at the Reach Bravo underwater robotic arm system and answer attendees questions.

WEBINAR Reach Bravo - A New Underwater Robotic Arm - Demo and Q&A

The android called Kannon Mindar. Photo by Richard Atrero de Guzman 

As icons and rituals adapt to newer technologies, the rise of robotics and AI can change the way we practice and experience spirituality.

Robots and Religion: Mediating the Divine.

Addcomposites-Fri Jun 30 2023 23:59:59 GMT+0200 (Central European Summer Time)

Addcomposites-Mon Jul 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Addcomposites-Thu Aug 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Addcomposites-Thu Aug 31 2023 23:59:59 GMT+0200 (Central European Summer Time)

Addcomposites-Sat Sep 30 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Addcomposites

USound GmbH

TechBlick

Jiga

Protolabs

null-Fri Jun 30 2023 23:59:59 GMT+0200 (Central European Summer Time)

null-Mon Jul 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

null-Thu Aug 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

null-Thu Aug 31 2023 23:59:59 GMT+0200 (Central European Summer Time)

Protolabs-Fri Jun 30 2023 23:59:59 GMT+0200 (Central European Summer Time)

Protolabs-Mon Jul 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Protolabs-Thu Aug 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Protolabs-Thu Aug 31 2023 23:59:59 GMT+0200 (Central European Summer Time)

Protolabs-Sat Sep 30 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Protolabs-Thu Oct 05 2023 18:52:14 GMT+0300 (Eastern European Summer Time)

Protolabs-Mon Oct 30 2023 14:37:13 GMT+0200 (Eastern European Standard Time)

Protolabs-Tue Oct 31 2023 23:59:59 GMT+0200 (Eastern European Standard Time)

Protolabs-Mon Oct 30 2023 08:44:58 GMT-0400 (Eastern Daylight Time)

Knowles Corporation-Fri Jun 30 2023 23:59:59 GMT+0200 (Central European Summer Time)

Knowles Corporation-Mon Jul 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Knowles Corporation-Thu Aug 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Knowles Corporation-Thu Aug 31 2023 23:59:59 GMT+0200 (Central European Summer Time)

Knowles Corporation-Sat Sep 30 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Blueprint Lab-Fri Jun 30 2023 23:59:59 GMT+0200 (Central European Summer Time)

Blueprint Lab-Mon Jul 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Blueprint Lab-Thu Aug 31 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

Blueprint Lab-Thu Aug 31 2023 23:59:59 GMT+0200 (Central European Summer Time)

Blueprint Lab-Sat Sep 30 2023 23:59:59 GMT+0300 (Eastern European Summer Time)

telerobotics

telerobotics

Profiles