<html><head></head><body>Unlock unlimited sports potential (Extra large joint movement space angle, 23~43 joints) Force control of dexterous hands, manipulation of all thingsImitation &amp; reinforcement learning driven Robot world model, let’s create it together Unitree G1 Price from $16K (Tax and Shipping cost excluded)More introduction:&nbsp;<a tabindex="0" href="https://www.youtube.com/redirect?event=video_description&amp;redir_token=QUFFLUhqbFpMZ0ZSV05IaDdTbEZuQnlFN1B3cDgzbnY0d3xBQ3Jtc0trTXhubEF2aWpndUhNLUFQajBBdmJObEFrRmZlcWdEdTN3dm1Fdzd0LUhGeVhxRF9HUUYwdl9NM2x5UnplTlYtR05zdkxSdUhvUk0zNktiWGhvdlpkNHhpazlUOVhpNHk5dmI3cEJRWWI2U3JQWEttTQ&amp;q=https%3A%2F%2Fwww.unitree.com%2Fg1&amp;v=GzX1qOIO1bE" rel="nofollow" target="_blank" data-immersive-translate-walked="fad7c807-08d6-4a00-ad03-0c3b7086529c">https://www.unitree.com/g1</a>Official Website: www.unitree.com&nbsp;Sales contact: sales_global@unitree.cc</body></html>

AI Avatar  Price from $16K

Unitree Introducing  Unitree G1 Humanoid Agent

720° Spin Kick - Hear the Impact! Kung Fu BOT Gameplay RAW. (No Speed-Up) (Do not imitate, please keep a safe distance from the machine)

720° Spin Kick - Hear the Impact! Kung Fu BOT Gameplay RAW. (No Speed-Up) 
(Do not imitate, please keep a safe distance from the machine)

Kungfu BOT GAME

We have continued to upgrade the Unitree G1's algorithm, enabling it to learn and perform virtually any movement. What other moves would you like to see. Do share with us in the comments. (Please keep a safe distance from the robot.)

We have continued to upgrade the Unitree G1's algorithm, enabling it to learn and perform virtually any movement.What other moves would you like to see. Do share with us in the comments. (Please keep a safe distance from the robot.)

Kungfu BOT: Unitree G1

<h2 id="isPasted">What Dance Would You Like to Perform with Unitree G1?</h2>With the upgraded algorithm, G1 can learn any dance. Leave a comment to tell us what dance you'd like to see！

With the upgraded algorithm, G1 can learn any dance. Leave a comment to tell us what dance you'd like to see！

What Dance Would You Like to Perform with Unitree G1?

Hello everyone, let me introduce myself again. I am Unitree H1 "Fuxi".&nbsp;I am now a comedian at the Spring Festival Gala, hoping to bring joy to everyone.&nbsp;Let’s push boundaries every day and shape the future together.A little surprise: the handkerchief can not only spin but can also be thrown out and automatically returned to its position.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzM4MDc3NzEzOTI3LeW+ruS/oeWbvueJh18yMDI1MDEyODIzMDMzNy5qcGciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 100%px;" class="fr-fic fr-dib">

Debut at the Spring Festival Gala

Unitree H1: Humanoid Robot Makes Its Debut at the Spring Festival Gala

Unitree H1&nbsp;Deep Reinforcement Learning&nbsp;In-place Flipping Parameters:&nbsp;Weight: about 50kg&nbsp;Height: about 1.8m&nbsp;Actuator: electric motor

Deep Reinforcement Learning

Unitree H1

Unitree G1 Bionic: Agile Upgrade

With the majority of spine surgeons experiencing bodily discomfort due to their work, the need for ergonomic improvements in the healthcare industry is clear. Orthopedic spine surgeon Philip Louie is on a mission to address this issue, leveraging&nbsp;<a href="https://www.movella.com/products/motion-capture" target="_blank" rel="noopener noreferrer">Xsens motion capture</a>&nbsp;technology and Scalefit software to identify pain points and create solutions that enhance surgeons’ physical well-being and long-term performance.Challenge:&nbsp;To effectively analyze surgeons’ occupational health and safety, healthcare professional Philip Louie needed an objective dataset to define specific problem areas.Solution:&nbsp;Using the Xsens inertial motion capture and <a href="https://www.movella.com/integrations/scalefit" target="_blank" rel="noopener noreferrer">Scalefit&nbsp;</a>software provided highly accurate data on the surgeons’ movements, all while maintaining privacy for themselves and their patients.Key takeaways:<ul><li id="isPasted" style="font-weight: bold;">Advanced data accuracy for ergonomic assessment: inertial motion capture records even the smallest movements, ensuring precise analysis</li><li style="font-weight: bold;">Ensuring privacy: Camera-less technology guarantees anonymity for both patients and surgeons</li><li>Authentic movement thanks to unobtrusive technology: comfortable wearables allow ergonomic professionals to track real, natural motion</li></ul>An overwhelming 80% of spine surgeons experience bodily discomfort. This high proportion shows a need for occupational health and safety to be prioritized within the healthcare industry. Such injuries can lead to unexpected time off, declining performance, or even early retirement. <a href="https://www.linkedin.com/in/philip-louie-1605807/" target="_blank" rel="noopener noreferrer">Orthopedic spine surgeon Philip Louie</a> is conducting a study to find out how to improve surgeons’ physical well-being to make their highly technical job that little bit easier.Stopping spine surgeon injuries“The majority of healthcare professionals experience some sort of bodily discomfort due to their job,” explains Philip. “So the first part of our study was to find the physical pain points of spine surgeons.” After completing a series of intense surgeries, Philip noticed the harmful impact and the role it had on his joints and muscles.However, Philip was not the only surgeon experiencing these issues. He started the study to show that physical well-being is a profession-wide issue, not just a personal one, and with this information, hopes to build more ergonomically friendly surgery rooms. To effectively demonstrate his point, he needed objective data that put a spotlight on the exact areas for improvement in the healthcare industry.Preparing for researchPhilip decided to perform ergonomic analyses on three surgeons, each performing the same procedure ten times. “Using replicable surgeries as the basis for the study was crucial,” he says. “It allowed us to compare and contrast each dataset to identify outlying issues.” Philip then researched the different techniques for assessing occupational health and safety.“For the first attempt, we used the REBA method,” explains Philip. REBA (rapid entire body analysis) requires an ergonomics analyst to manually assess the worker’s movements, using their knowledge of physical well-being to point out issues and suggest amendments. “We found that while this was useful, we didn’t have the quantitative, set-in-stone data needed for this project.”&nbsp;An extra person in the surgery room also led to privacy issues for both patient and surgeon. Most would be uncomfortable having their work, or personal procedures, observed by a third party. Filming would also create an anonymity issue, leading to faces having to be blurred and time taken away from the investigation. After extensive research, Philip found the answer to anonymity while further improving the quality of data.Using Xsens and Scalefit technology“When we found inertial motion capture, we knew that it was the only way to efficiently carry out our research without encroaching on the privacy of others,” says Philip. Using inertial technology, the Xsens motion capture system tracks velocity, acceleration, and rotation without requiring any cameras. Instead, the data is sent directly from the wearables to post-processing software.“I was able to perform a two-hour surgery while wearing the Xsens system,” Philip continues. “By the end, myself and the other surgeons forgot we were even wearing it.” The Awinda set contains 17 wireless sensors, all individually strapped to the body for bespoke comfort. The team could also maintain a sterile environment, with the sensors tucked underneath scrubs.Using the Xsens motion data and Scalefit software, Philip could effectively collate his results to show objective findings, pinpointing the need for ergonomic improvement in the surgery room. The research team quantified this data to highlight the specific areas of a surgeon’s body that were most affected by their job. Having this abundance of data instantly available for research was essential for rapidly progressing the project.Looking aheadErgonomic analysis is best carried out in a worker’s natural environment, doing the tasks they would do every day, and Xsens allows you to do just that. “I hope to roll out this technique to the rest of the healthcare industry,” says Philip. “Its usefulness was invaluable to us, and it can help many other professionals perform their jobs more safely.”Philip’s research project is drawing to a close, and the last rounds of motion capture data are being recorded. He hopes to create tangible solutions for spine surgeons, with his ability to identify exact pain points and put together a plan to prevent them from happening, such as full-body exercises to relieve tension from the back, shoulders, wrists, and other vulnerable joints.&nbsp;Just wearing the Xsens suit raised awareness for the toll surgery takes on medical professionals. Philip could see in real time how his body was reacting to holding it in a fixed position, encouraging him to relax and avoid experiencing unnecessary pain.“Inertial motion capture technology was the only solution for this project,” concludes Philip. “Having this quantitative data is invaluable to our occupational health and safety.

With Xsens MVN Analyze

Ergonomic analysis for spine surgeons: saving your back and neck

In the holiday movie The Grinch, makeup artists are reported to have spent several hours each day encasing Jim Carrey’s face with prosthetics to create the iconic grumpy, green-furred creature. Such elaborate prosthetics, often made possible by materials like silicone rubbers, may have now found an unexpected yet beneficial biomedical engineering application, according to a new study from Texas A&amp;M University.<a href="https://www.nature.com/articles/s41598-024-76652-y" rel="noopener" target="_blank">Published in the journal Scientific Reports</a>,&nbsp;researchers have created realistic, skin-like replicas made of Ecoflex, a type of silicone rubber that can potentially serve as a platform to evaluate risks of bacterial infections from intravenous catheters and test wearable sensors, among other biomedical applications. The study found that EcoFlex-based skin replicas can be engineered to mimic actual skin textures, wettability, and elasticity, simulating the conditions where bacteria grow and adhere.“We think that the material holds tremendous promise for studying infections at the insertion site due to bacteria that are naturally occurring on the skin,” said Majed Othman Althumayri, a graduate student in the Texas A&amp;M Department of Biomedical Engineering and primary author of the paper. “Our goal was to create a skin-like material with ingredients that can be purchased off the shelf. Ecoflex is not just easy to use, it can be cured quickly with minimum additional steps, making it very convenient.”&nbsp;There are roughly a million bacteria per square centimeter of human skin. The most common of them is Staphylococcus, particularly the species Staphylococcus epidermidis, which is considered a typical resident of the skin microbiome. Infections often happen when there is a cut, break or wound on the skin, allowing the bacteria to enter the bloodstream. In fact, a relatively common infection in hospitals comes from surgically inserting tubes or catheters into veins. Each year, around 80,000 catheter-related bloodstream infections happen in intensive care units alone, underscoring its public health significance in the United States.“We have been slow in finding solutions for preventing infections from intravenous catheters,” said Althumayri. “A reason could be that we lack good platforms to test new catheter designs or &nbsp;wearable biosensor technologies and train staff so that the number of infections can be reduced.”&nbsp;<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1734481767784-News-BMEN-Hands3Long-16Dec2024.jpg" style="width: 100%px;" class="fr-fic fr-dib">Hand replica made of Ecoflex. | Image:&nbsp;<cite id="isPasted">Courtesy of Majed Othman Althumayri</cite>To address this gap, the researchers turned to Ecoflex 00-35, a fast-curing, biocompatible rubber used for various applications, including prosthetics for special effects. First, they created molds of common intravenous insertion sites, such as the elbows, hands and forearms. Then, by pouring Ecoflex into the molds that contained artificial bones and tubes acting as veins, the researchers created skin-like replicas.&nbsp;Next, the researchers tested if the Ecoflex skin replicas had properties that matched that of real skin. They measured the replicas’ wettability, bacterial adhesion and mechanical properties, such as elasticity and resilience. The researchers found that the Ecoflex models could replicate human skin roughness within a 7.5% error margin. Further, high-resolution imaging showed that bacteria could adhere to the skin replica and grow on it.&nbsp;Then, in a key experiment, the researchers simulated an intravenous catheter insertion into an Ecoflex hand replica that they created. This artificial hand effectively modeled phases of bacterial growth, showing promise that these replicas can be used for implementing infection control measures and improving the design of medical devices like catheters.However, the researchers noted that their current experiments do not entirely model real-world conditions.&nbsp;“Developing realistic skin models that can mimic the human skin is an important initial step,” said Dr. Hatice Ceylan Koydemir, corresponding author on the study and assistant professor in the Department of Biomedical Engineering with a research program housed within the Texas A&amp;M University Center for Remote Health Technologies and Systems. “But we think that incorporating additional elements, like body fluids and other clinically relevant situations, in future experiments will bolster our findings and further validate Ecoflex’s potential for medical applications.”Other contributors to the research include Azra Yaprak Tarman, a graduate student in the Department of Biomedical Engineering.This study was partly sponsored by the National Institute of General Medical Sciences (one of the National Institutes of Health), the Department of Defense Office of Naval Research and the National Science Foundation-funded&nbsp;<a href="https://tees.tamu.edu/research/initiatives/paths-up.html" rel="noopener" target="_blank">Engineering Research Center PATHS-UP</a>. Researchers also received additional support from the Department of Biomedical Engineering, the Center for Remote Health Technologies and Systems, the Texas A&amp;M Engineering Experiment Station, the AggieFab Nanofabrication Facility, and the Soft Matter Facility.

Graduate student Majed Othman Althumayri demonstrates an Ecoflex cast of his hand. | Image: Emily Oswald/Texas A&M Engineering

In a new study, Texas A&M researchers have used a skin-like material as a platform for investigating infections from intravenous catheters.

Prosthetic Material Could Help Reduce Infections from Intravenous Catheters

Unitree B2 continues to evolve every day with the acceleration of AI. Is there a limit to its evolution? More introduction: www.unitree.com/b2The fastest industrial quadruped robot with a speed of 6m/s.Excellent terrain adaptability, ensuring stable driving on slippery or uneven surfaces.Excellent continuous stair climbing ability, easy to handle steps.170% increase in joint performance with 360 N.m of torque. Extreme performance provids greater flexibility and stability for industrial operations.Overcoming obstacles. Stable and tough. Superior obstacle-crossing ability, easy to cross the mess of wood piles, 40cm high platforms and other obstacles.100% increase in sustained load 200% increase in endurance.

Unitree B2 continues to evolve every day with the acceleration of AI. Is there a limit to its evolution?

Unitree B2 has evolved once again, is there an end?

In this episode, we explore an innovative prosthesis driven by the nervous system that helps people with amputations walk naturally and discover how this cutting-edge technology is transforming mobility and enhancing the quality of life for amputees by restoring a natural gait.

Podcast: Bionics Help Amputees Take Big Strides Forward

This article was discussed in our <a href="https://www.wevolver.com/profile/the.next.byte" 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/ceb16e69-0075-4e23-97b8-f679ee5b172e?dark=false" class="fr-draggable" data-gtm-yt-inspected-24="true" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe> The full article will continue below.<hr>State-of-the-art prosthetic limbs can help people with amputations achieve a natural walking gait, but they don’t give the user full neural control over the limb. Instead, they rely on robotic sensors and controllers that move the limb using predefined gait algorithms.Using a new type of surgical intervention and neuroprosthetic interface, MIT researchers, in collaboration with colleagues from Brigham and Women’s Hospital, have shown that a natural walking gait is achievable using a prosthetic leg fully driven by the body’s own nervous system. The surgical amputation procedure reconnects muscles in the residual limb, which allows patients to receive “proprioceptive” feedback about where their prosthetic limb is in space.In a study of seven patients who had this surgery, the MIT team found that they were able to walk faster, avoid obstacles, and climb stairs much more naturally than people with a traditional amputation.<iframe width="640" height="360" src="https://www.youtube.com/embed/fKdnu50Nx-8?&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true" data-gtm-yt-inspected-24="true" id="651131305" title="Helping people with amputation walk naturally">&nbsp;</iframe>“This is the first prosthetic study in history that shows a leg prosthesis under full neural modulation, where a biomimetic gait emerges.&nbsp;No one has been able to show this level of brain control that produces a natural gait, where the human’s nervous system is controlling the movement, not a robotic control algorithm,” says Hugh Herr,&nbsp;a professor of media arts and sciences, co-director of the K. Lisa Yang Center for Bionics at MIT, an associate member of MIT’s McGovern Institute for Brain Research, and the senior author of the new study.Patients also experienced less pain and less muscle atrophy following this surgery, which is known as the agonist-antagonist myoneural interface (AMI). So far, about 60 patients around the world have received this type of surgery, which can also be done for people with arm amputations.Hyungeun Song, a postdoc in MIT’s Media Lab, is the lead author of the <a href="https://www.nature.com/articles/s41591-024-02994-9" target="_blank">paper</a>, which appears today in Nature Medicine.<h2>Sensory feedback</h2>Most limb movement is controlled by pairs of muscles that take turns stretching and contracting. During a traditional below-the-knee amputation, the interactions of these paired muscles are disrupted. This makes it very difficult for the nervous system to sense the position of a muscle and how fast it’s contracting — sensory information that is critical for the brain to decide how to move the limb.People with this kind of amputation may have trouble controlling their prosthetic limb because they can’t accurately sense where the limb is in space. Instead, they rely on robotic controllers built into the prosthetic limb. These limbs also include sensors that can detect and adjust to slopes and obstacles.To try to help people achieve a natural gait under full nervous system control, Herr and his colleagues began developing the AMI surgery several years ago. Instead of severing natural agonist-antagonist muscle interactions, they connect the two ends of the muscles so that they still dynamically communicate with each other within the residual limb. This surgery can be done during a primary amputation, or the muscles can be reconnected after the initial amputation as part of a revision procedure.“With the AMI amputation procedure, to the greatest extent possible, we attempt to connect native agonists to native antagonists in a physiological way so that after amputation, a person can move their full phantom limb with physiologic levels of proprioception and range of movement,” Herr says.In a 2021 <a href="https://news.mit.edu/2021/surgery-control-prosthetic-limbs-0215" target="_blank">study</a>, Herr’s lab found that patients who had this surgery were able to more precisely control the muscles of their amputated limb, and that those muscles produced electrical signals similar to those from their intact limb.After those encouraging results, the researchers set out to explore whether those electrical signals could generate commands for a prosthetic limb and at the same time give the user feedback about the limb’s position in space. The person wearing the prosthetic limb could then use that proprioceptive feedback to volitionally adjust their gait as needed.In the new Nature Medicine study, the MIT team found this sensory feedback did indeed translate into a smooth, near-natural ability to walk and navigate obstacles.“Because of the AMI neuroprosthetic interface, we were able to boost that neural signaling, preserving as much as we could. This was able to restore a person's neural capability to continuously and directly control the full gait, across different walking speeds, stairs, slopes, even going over obstacles,” Song says.<h2>A natural gait</h2>For this study, the researchers compared seven people who had the AMI surgery with seven who had traditional below-the-knee amputations. All of the subjects used the same type of bionic limb: a prosthesis with a powered ankle as well as electrodes that can sense electromyography (EMG) signals from the tibialis anterior the gastrocnemius muscles. These signals are fed into a robotic controller that helps the prosthesis calculate how much to bend the ankle, how much torque to apply, or how much power to deliver.The researchers tested the subjects in several different situations: level-ground walking across a 10-meter pathway, walking up a slope, walking down a ramp, walking up and down stairs, and walking on a level surface while avoiding obstacles.In all of these tasks, the people with the AMI neuroprosthetic interface were able to walk faster — at about the same rate as people without amputations — and navigate around obstacles more easily. They also showed more natural movements, such as pointing the toes of the prosthesis upward while going up stairs or stepping over an obstacle, and they were better able to coordinate the movements of their prosthetic limb and their intact limb. They were also able to push off the ground with the same amount of force as someone without an amputation.“With the AMI cohort, we saw natural biomimetic behaviors emerge,” Herr says.&nbsp;“The cohort that didn’t have the AMI, they were able to walk, but the prosthetic movements weren’t natural, and their movements were generally slower.”These natural behaviors emerged even though the amount of sensory feedback provided by the AMI was less than 20 percent of what would normally be received in people without an amputation.“One of the main findings here is that a small increase in neural feedback from your amputated limb can restore significant bionic neural controllability, to a point where you allow people to directly neurally control the speed of walking, adapt to different terrain, and avoid obstacles,” Song says.“This work represents yet another step in us demonstrating what is possible in terms of restoring function in patients who suffer from severe limb injury. It is through collaborative efforts such as this that we are able to make transformational progress in patient care,” says Matthew Carty, a surgeon at Brigham and Women’s Hospital and associate professor at Harvard Medical School, who is also an author of the paper.Enabling neural control by the person using the limb is a step toward Herr’s lab’s goal of “rebuilding human bodies,” rather than having people rely on ever more sophisticated robotic controllers and sensors — tools that are powerful but do not feel like part of the user’s body.“The problem with that long-term approach is that the user would never feel embodied with their prosthesis. They would never view the prosthesis as part of their body, part of self,” Herr says. “The approach we’re taking is trying to comprehensively connect the brain of the human to the electromechanics.”The research was funded by the MIT K. Lisa Yang Center for Bionics and the Eunice Kennedy Shriver National Institute of Child Health and Human Development.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzIwNDIzMTQxODg1LV9NR185NjE2LTMuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 100%px;" class="fr-fic fr-dib">Credit: Jimmy Day, MIT Media Lab

“This is the first prosthetic study in history that shows a leg prosthesis under full neural modulation,” Hugh Herr says. Image: Courtesy of Hugh Herr and Hyungeun Song

A new surgical procedure gives people more neural feedback from their residual limb. With it, seven patients walked more naturally and navigated obstacles.

A prosthesis driven by the nervous system helps people with amputation walk naturally

In this episode, we discuss how MIT researchers are making great strides in developing better robotic hands by focusing on an often overlooked component: the palm.

Podcast: Talk to The Hand: Meet The Robots With a Human Touch

In this episode, we discuss a breakthrough from ETH Zurich to mimic natural foot signals to the brain using state of the art neuroprosthetics. 

Podcast: Neuroprosthetics: The Next Step Towards Limb Reconstruction

Robotic exoskeletons designed to help humans with walking or physically demanding work have been the stuff of sci-fi lore for decades. Remember <a href="https://youtu.be/jtVygtT8VIc" target="_blank">Ellen Ripley in that Power Loader in Alien</a>? Or the crazy mobile platform <a href="https://youtu.be/Z2OLmFw9wR8?si=hIsWKAiRYAWGWbpP&t=85" target="_blank">George McFly wore in 2015 in Back to the Future, Part II</a> because he threw his back out?Researchers are working on real-life robotic assistance that could protect workers from painful injuries and help stroke patients regain their mobility. So far, they have required extensive calibration and context-specific tuning, which keeps them largely limited to research labs.Mechanical engineers at Georgia Tech may be on the verge of changing that, allowing exoskeleton technology to be deployed in homes, workplaces, and more.A team of researchers in <a href="https://me.gatech.edu/faculty/young" target="_blank">Aaron Young’s</a> lab have developed a universal approach to controlling robotic exoskeletons that requires no training, no calibration, and no adjustments to complicated algorithms. Instead, users can don the “exo” and go.Their system uses a kind of artificial intelligence called deep learning to autonomously adjust how the exoskeleton provides assistance, and they’ve shown it works seamlessly to support walking, standing, and climbing stairs or ramps. <a href="https://doi.org/10.1126/scirobotics.adi8852" target="_blank">They described their “unified control framework” March 20 in Science Robotics.</a>“The goal was not just to provide control across different activities, but to create a single unified system. You don't have to press buttons to switch between modes or have some classifier algorithm that tries to predict that you're climbing stairs or walking,” said Young, associate professor in the <a href="https://me.gatech.edu/" target="_blank">George W. Woodruff School of Mechanical Engineering</a>.<h3>Machine Learning as Translator</h3><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1711697656575-_MG_8945.webp" style="width: 100%px;" class="fr-fic fr-dib">A closeup view of experimental exoskeleton used in experiments that resulted in a universal controller for robotic assistance devices.Most previous work in this area has focused on one activity at a time, like walking on level ground or up a set of stairs. The algorithms involved typically try to classify the environment to provide the right assistance to users.The Georgia Tech team threw that out the window. Instead of focusing on the environment, they focused on the human — what’s happening with muscles and joints — which meant the specific activity didn’t matter.“We stopped trying to bucket human movement into what we call discretized modes — like level ground walking or climbing stairs&nbsp;— because real movement is a lot messier,” said Dean Molinaro, lead author on the study and a recently graduated Ph.D. student in Young’s lab. “Instead, we based our controller on the user’s underlying physiology. What the body is doing at any point in time will tell us everything we need to know about the environment. Then we used machine learning essentially as the translator between what the sensors are measuring on the exoskeleton and what torques the muscles are generating.”With the controller delivering assistance through a hip exoskeleton developed by the team, they found they could reduce users’ metabolic and biomechanical effort: they expended less energy, and their joints didn’t have to work as hard compared to not wearing the device at all.In other words, wearing the exoskeleton was a benefit to users, even with the extra weight added by the device itself.<blockquote>What’s so cool about this [controller] is that it adjusts to each person’s internal dynamics without any tuning or heuristic adjustments, which is a huge difference from a lot of work in the field. There’s no subject-specific tuning or changing parameters to make it work.AARON YOUNG Associate Professor, Mechanical Engineering</blockquote><a href="https://doi.org/10.1126/scirobotics.adi8852" target="_blank">The control system in this study</a> is designed for partial-assist devices. These exoskeletons support movement rather than completely replacing the effort.The team, which also included Molinaro and <a href="https://www.meche.engineering.cmu.edu/directory/bios/kang-inseung.html" target="_blank">Inseung Kang</a>, another former Ph.D. student now at Carnegie Mellon University, used an existing algorithm and trained it on mountains of force and motion-capture data they collected in Young’s lab. Subjects of different genders and body types wore the powered hip exoskeleton and walked at varying speeds on force plates, climbed height-adjustable stairs, walked up and down ramps, and transitioned between those movements.And like the motion-capture studios used to make movies, every movement was recorded and cataloged to understand what joints were doing for each activity.The <a href="https://doi.org/10.1126/scirobotics.adi8852" target="_blank">Science Robotics study</a> is “application agnostic,” as Young put it. Yet their controller offers the first bridge to real-world viability for robotic exoskeleton devices.<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1711697699313-_MG_8771.webp" style="width: 100%px;" class="fr-fic fr-dib">Researchers Aaron Young, left, and Dean Molinaro.Imagine how robotic assistance could benefit soldiers, airline baggage handlers, or any workers doing physically demanding jobs where musculoskeletal injury risk is high.Assistive robotics also could help stroke patients regain mobility. Related experiments in Young’s lab are working to understand how their hip exoskeleton and unified controller could be extended to help people recovering from stroke navigate their communities.<iframe width="640" height="360" src="https://www.youtube.com/embed/VEvV1jnqacs?&amp;wmode=opaque&amp;rel=0&amp;enablejsapi=1&amp;origin=https://www.wevolver.com" frameborder="0" allowfullscreen="" class="fr-draggable" data-lf-form-tracking-inspected-kn9eq4roawkarlvp="true" data-lf-yt-playback-inspected-kn9eq4roawkarlvp="true" data-lf-vimeo-playback-inspected-kn9eq4roawkarlvp="true"></iframe><h3 id="isPasted">Helping Amputees Do More</h3>Other projects in Young’s <a href="https://www.epic.gatech.edu/" target="_blank">Exoskeleton and Prosthetic Intelligent Controls (EPIC) Lab</a> are marrying the power of robotics and AI to help adults with above-the-knee amputations navigate more effectively and children recover from neurological injuries.For adults, the lab is imagining new powered prostheses to help them navigate the world. An active study is exploring how AI can learn a patient’s gait and adapt over time to improve walking.Stacey Rice has been working with the team for a year, testing iterations of a leg prosthesis and the accompanying AI controller. She lost her leg to bone cancer 44 years ago, so she’s already seen technology improve the devices available to amputees.&nbsp;The Atlanta native is a multisport athlete and 1988 volleyball Paralympian. She said she can feel a real difference in the amount of effort she expends using the robotic assistance. <blockquote>I realized while I was on the treadmill that I wasn’t using as much energy as if I was using my own prosthesis. For me to have that energy bank is huge. There’s so much energy the body uses when you’re an amputee and you’re walking. To reserve that energy for your day-to-day activities will allow amputees to be more active during the day and do more.STACEY RICE Amputee and Research Study Participant</blockquote><img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1711697760246-_MG_8899.webp" style="width: 100%px;" class="fr-fic fr-dib">Dean Molinaro walks up a height-adjustable ramp, left, and similarly adjustable stairs, right, while wearing an experimental exoskeleton. The team used these and other unique tools Young's lab, such as force plates and motion-capture cameras, to collect data in their effort to develop a unified control framework for robotic assistance devices.<h3 id="isPasted">Gamifying Pediatric Rehab<a title="Permalink to this item" href="https://coe.gatech.edu/news/2024/03/universal-controller-could-push-robotic-prostheses-exoskeletons-real-world-use#gamifying-pediatric-rehab" target="_blank"></a></h3>In other experiments, Young’s lab is working with Children’s Healthcare of Atlanta and Shriners Hospital to incorporate robotics into a new approach to pediatric rehabilitation that helps patients improve their gait.&nbsp;Kids with cerebral palsy, traumatic brain injuries, and other conditions often undergo physical therapy to help correct walking abnormalities. Incorporating robotics into the process is an area Young is excited about because developing brains are especially good at relearning skills and can recover function over time.“The robotic therapy does what a physical therapist might do manually, but in an automated way. It encourages them to adopt better gait biomechanics,” Young said.In each appointment, the researchers combine a robotic exoskeleton with biofeedback systems through a game-like interface.“When the patients come in, it’s like a video game that they're playing, which both engages them and gives them feedback about their performance,” Young said. “We want them to internalize the learning. The exoskeleton will help them physically achieve their goals, but we need them to retain that and engage in the rehab process.”<h3>Regaining Balance<a title="Permalink to this item" href="https://coe.gatech.edu/news/2024/03/universal-controller-could-push-robotic-prostheses-exoskeletons-real-world-use#regaining-balance" target="_blank"></a></h3>Elsewhere in the lab, Young and his team use a unique virtual-reality treadmill system to study gait and balance, particularly for older adults or people with mobility issues from strokes or amputations.The team uses the platform to introduce significant disruptions while participants are walking, challenging them to keep or regain their balance. The resulting data —&nbsp;largely from young, athletic individuals —&nbsp;is inspiring how wearable robots should operate to help people with balance impairments stay upright.In other words, it’s a busy place. And all in service of making a future of wearable robotics a reality.“For a lot of us, mobility is something we’re able to take for granted. One of the hopes is that this work can translate to people with mobility impairments and improve their quality of life,” Molinaro said. “And also, there are times when mobility is a limitation. So we’re interested in how we push the edge of mobility, both in restoring it for those with impairments but also augmenting it for those of able body to make them even more capable.”

Researcher Aaron Young makes adjustments to an experimental exoskeleton worn by then-Ph.D. student Dean Molinaro. The team used the exoskeleton to develop a unified control framework for robotic assistance devices that would allow users to put on an "exo" and go — no extensive training, tuning, or calibration required. (Photo: Candler Hobbs)

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