In order to promote the development of the global embodied AI industry, the Unitree G1 robot operation data set is open sourced, adapted to a variety of open source solutions, and continuously updated:&nbsp;Open source data collection:&nbsp;<a tabindex="0" href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqa3VhODBhSF8tQzQtdFlpaUk2blczM2t1WFdkd3xBQ3Jtc0ttTkF6bzFrSzVTbkk5elFNaXl4ZmZyQTE5VGFfbWpESlhxVS1VRklKVXozX2JrZ2ItekNReGx3Vm5QOHY2OGxER0diUUhhTWlBdmotSU9LUV9EcWV0dC00Y3pjTWpyQXlQUTU5RmZCYjhoRl9KeXhadw&q=https%3A%2F%2Fgithub.com%2Funitreerobotics%2Favp_teleoperate&v=OTWHXTu09wE" rel="nofollow" target="_blank" data-immersive-translate-walked="dc553b62-3d51-4d74-bb21-9b5c19549e6f">https://github.com/unitreerobotics/av...</a>Open source learning algorithms:&nbsp;<a tabindex="0" href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbFVfRV9DS25fNFpSMXVpaEJicUFBV29QY2NYd3xBQ3Jtc0tuejRtek9OWDF5Qk9Fc0FRNUhzWkl0SEdDSFM4UFRHLWk2MHdOUjR3LWxwN0JlUmxGRkJ5TjhlbE83S0hlZEhDY0IxQmFiOGJaM0MxRFVtdmtta3ZMMWVCOXlQMS1WR2hJa0hla0RtVHpvZWlQc3pPZw&q=https%3A%2F%2Fgithub.com%2Funitreerobotics%2Funitree_IL_lerobot&v=OTWHXTu09wE" rel="nofollow" target="_blank" data-immersive-translate-walked="dc553b62-3d51-4d74-bb21-9b5c19549e6f">https://github.com/unitreerobotics/un...</a>Open source datasets and models:&nbsp;<a tabindex="0" href="https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbGh0clVCMHBNbkpPWTczdTFjSGtWNGFfLVowUXxBQ3Jtc0trV2VfWFBrLUVNNS1oM3JNR2ZEU0d0MnlYZXhBNDVQVjNfYkN1aGd1b3BMc3JHUGtNTnFBN0JSMi1CQUJHSnRUTzZMTWNIZnJNQ29IUmNtT2t1blZkRXJ3ZEtfZmRKYVdqUGk1OWNZSUl4d1g5Qk16MA&q=https%3A%2F%2Fhuggingface.co%2FUnitreeRobotics&v=OTWHXTu09wE" rel="nofollow" target="_blank" data-immersive-translate-walked="dc553b62-3d51-4d74-bb21-9b5c19549e6f">https://huggingface.co/UnitreeRobotics</a>

In order to promote the development of the global embodied AI industry, the Unitree G1 robot operation data set is open sourced, adapted to a variety of open source solutions, and continuously updated.

Unitree G1 Open Source Dataset

Two new kinds of on-skin electronics allow users to build and customize them directly on the body – with potential applications in biometric sensing, medical monitoring, interactive prosthetic makeup and more.<a href="https://www.hybridbody.human.cornell.edu/#/skinlink/">SkinLink</a>, developed by the&nbsp;<a href="https://www.hybridbody.human.cornell.edu/">Hybrid Body Lab</a> led by&nbsp;<a href="https://www.human.cornell.edu/people/hk932">Cindy Hsin-Liu Kao</a>, assistant professor of human centered design in the College of Human Ecology, is an on-skin electronic interface that can be fabricated right on the body, providing flexibility in design depending on the intended use. And&nbsp;<a href="https://www.hybridbody.human.cornell.edu/#/ecskin/">ECSkin</a> is an electrochromic display interface that also can be fabricated in situ, and features modular design through tiles that can be arranged as desired.Some of the potential applications for SkinLink include vital-sign and posture monitoring, proximity sensing and body art.“Both of these projects are modular prototyping toolkits, to enable much more intricate on-skin circuitry prototyping,” Kao said. “And users are able to build the circuitry directly on the skin surface.”Doctoral student and lab member Pin-Sung Ku is lead author of “<a href="https://dl.acm.org/doi/10.1145/3596241">SkinLink:&nbsp;On-body Construction and Prototyping of Reconfigurable Epidermal Interfaces</a>,” which was presented in early October at UbiComp/ISWC ’24, the Association for Computing Machinery’s international joint conference on pervasive and ubiquitous computing.The work earned a Distinguished Paper Award from the journal, Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, where it was originally published in June 2023.<a href="https://dl.acm.org/doi/10.1145/3659613">ECSkin: Tessellating Electrochromic Films for Reconfigurable On-skin Displays</a>, which published May 15, 2024, in the same journal and for which Ku is also lead author, was also presented at the conference. Kao is senior author for both papers.SkinLink represents a step forward from&nbsp;<a href="https://news.cornell.edu/stories/2022/11/skinkit-offers-versatile-wearable-skin-computing">SkinKit, which the lab developed</a> and presented at UbiComp in 2021. The earlier iteration featured slim and flexible printed circuit boards in temporary tattoo form, but the boards had predefined behaviors and larger surface areas, making customizability a challenge.“There were several issues we didn’t address in SkinKit, such as how to allow users to program the modules the way they want to,” Ku said. “For SkinKit, everything was pre-programmed; users had to attach things in a certain order. With SkinLink, there is more customizability of the functions they like.”With SkinKit, for example, the circuitry had to be built before applying it to the body; with SkinLink, users can put one module on the body, then another, for more customizability.&nbsp;The SkinLink toolkit consists of functional circuit modules, made of flexible printed circuit boards, and flexible, custom-designed wiring (called trace modules, or traces) that connect the sensor and actuator modules to the microcontroller board.That’s a key difference from SkinKit: Smaller circuit boards are connect via flexible wiring, allowing for greater freedom of motion without sacrificing connectivity.&nbsp; “The circuit boards are somewhat rigid,” Ku said, “but we created the traces to be elastic, stretchable and flexible, so as not to hinder body movement.”The on-body fabrication process starts with selecting and programming the circuit board and trace modules. The microcontroller board can be repeatedly programmed during this step, to fine-tune the circuit functions. The boards can be temporarily placed on the body and customized, before final placement.The researchers conducted A/B testing of SkinLink, comparing its usability with SkinKit in a 14-person study, and found that SkinLink enables a more flexible wiring process than SkinKit, along with unrestricted circuit arrangement and superior wearability. Compared to the SkinKit, the SkinLink interface has a much smaller footprint, better stretchability, easier fabricating and more seamless wear.SkinKit, Kao said, offered a “low floor” – a term coined by computer scientist Ben Shneiderman, meaning that people with little or no experience can quickly get started designing and prototyping wearable tech. SkinLink takes it a couple of steps further, she said.“Another goal is what we call ‘high ceilings and wide walls,’” she said. “High ceilings means increasing the complexity of the prototypes; wide walls refers to the vast array of things that could be designed. That’s what I think SkinLink really does.”Kao said she sees both SkinLink and ECSkin as “enabling technologies,” with a variety of potential uses. Some of the studies with SkinLink involved artists, wearable tech researchers, and psychology researchers for physiology sensing; she also envisions applications beyond humans.&nbsp;“Being able to use this as a functional technology for physiological sensing or artistic practice is one application,” she said. “Our work has focused on skin interfaces for humans, but I think there could also be potential for designing ‘skin’ interfaces for other living beings, such as animals, and sensing for agricultural purposes, even on plants. We are interested in bringing SkinLink to broader disciplines to support on-skin prototyping.”

An ECSkin on-body display, composed of modular electrochromic films, is flexible and soft, and easily conforms to complex body parts such as the wrist. Hybrid Body Lab/Provided

Two new kinds of on-skin electronics allow users to build and customize them directly on the body – with potential applications in biometric sensing, medical monitoring, interactive prosthetic makeup and more.

On-body electronics can monitor health, support creative expression

The G1 robot can perform a standing long jump of up to 1.4 meters, possibly the longest jump ever achieved by a humanoid robot of its size in the world, standing only 1.32 meters tall; This video showcases some of the new features of the Go2 robot dog, which were updated a while ago but may still be unfamiliar to you. (Note: features vary by model and version) We sincerely hope you find it interesting!

The G1 robot can perform a standing long jump of up to 1.4 meters, possibly the longest jump ever achieved by a humanoid robot of its size in the world, standing only 1.32 meters tall.

Did you exercise today? Breaking Records! G1 Humanoid Robot Achieves a Jump Distance and Height Ratio of Over 1!

Robots, combined with artificial intelligence (AI), are transforming industries such as manufacturing, healthcare, and research. 

AI-enabled robots and the importance of force sensing

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

To advance soft robotics, skin-integrated electronics and biomedical devices, researchers at Penn State have developed a 3D-printed material that is soft and stretchable — traits needed for matching the properties of tissues and organs — and that self-assembles. Their approach employs a process that eliminates many drawbacks of previous fabrication methods, such as less conductivity or device failure, the team said. &nbsp;They published their results in <a href="https://onlinelibrary.wiley.com/doi/10.1002/adma.202400082" target="_blank">Advanced Materials</a>. &nbsp;&nbsp;“People have been developing soft and stretchable conductors for almost a decade, but the conductivity is not usually very high,” said corresponding author Tao Zhou, Penn State assistant professor of engineering science and mechanics and of biomedical engineering in the College of Engineering and of materials science and engineering in the College of Earth and Mineral Sciences. “Researchers realized they could reach high conductivity with liquid metal-based conductors, but the significant limitation of that is that it requires a secondary method to activate the material before it can reach a high conductivity.”&nbsp;Liquid metal-based stretchable conductors suffer from inherent complexity and challenges posed by the post-fabrication activation process, the researchers said. The secondary activation methods include stretching, compressing, shear friction, mechanical sintering and laser activation, all of which can lead to challenges in fabrication and can cause the liquid metal to leak, resulting in device failure. &nbsp;&nbsp;“Our method does not require any secondary activation to make the material conductive,” said Zhou, who also has affiliations with the Huck Institutes of the Life Sciences and the Materials Research Institute. “The material can self-assemble to make its bottom surface be very conductive and its top surface self-insulated.”&nbsp;In the new method, the researchers combine liquid metal, a conductive polymer mixture called PEDOT:PSS and hydrophilic polyurethane that enables the liquid metal to transform into particles. When the composite soft material is printed and heated, the liquid metal particles on its bottom surface self-assemble into a conductive pathway. The particles in the top layer are exposed to an oxygen-rich environment and oxidize, forming an insulated top layer. The conductive layer is critical for conveying information to the sensor — such as muscle activity recordings and strain sensing on the body — while the insulated layer helps prevent signal leakage that could lead to less accurate data collection.&nbsp;<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1719495196118-240205-psnbody1-tao.jpg" style="width: 100%px;" class="fr-fic fr-dib">The new material, shown here, can self-assemble to make its bottom surface conductive and its top surface self-insulated. Credit: Marzia Momin. All Rights Reserved.“Our innovation here is a materials one,” Zhou said. “Normally, when liquid metal mixes with polymers, they are not conductive and require secondary activation to achieve conductivity. But these three components allow for the self-assembly that produces the high conductivity of soft and stretchable material without a secondary activation method.” &nbsp;The material can also be 3D-printed, Zhou said, making it easier to fabricate wearable devices. The researchers are continuing to explore potential applications, with a focus on assistive technology for people with disabilities.&nbsp;The papers other authors are Salahuddin Ahmed, Marzia Momin and Jiashu Ren, all doctoral students in the Penn State engineering science and mechanics department, and Hyunjin Lee, a doctoral student in the biomedical engineering department at Penn State. This work was supported by the National Taipei University of Technology-Penn State Collaborative Seed Grant Program and by the Department of Engineering Science and Mechanics, the Materials Research Institute and the Huck Institutes of the Life Sciences at Penn State.&nbsp;<img src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1719495222063-240205-psnbody2-tao.jpg" style="width: 100%px;" class="fr-fic fr-dib">The researchers 3D print the novel material.&nbsp;Credit: Marzia Momin. All Rights Reserved.

Penn State researchers developed a new soft and stretchable material that can be 3D-printed. The material can be used to fabricate wearable devices, such a sensor that can be worn on a finger, as shown here. Credit: Marzia Momin. All Rights Reserved.

To advance soft robotics, skin-integrated electronics and biomedical devices, researchers at Penn State have developed a 3D-printed material that is soft and stretchable — traits needed for matching the properties of tissues and organs — and that self-assembles.

Self-assembling, highly conductive sensors could improve wearable devices

Humanoid robots are designed to resemble and mimic human actions and interactions, placing them as a bridge forming collaborations between humans and machines. Their human-like appearance and movements create a sense of relatability and approachability not typically seen in traditional industrial robots. This "personal appeal" has sparked increased interest in developing humanoid robots for diverse applications, such as healthcare, customer service, education, and even space exploration - where human characteristics such as empathy, decision-making making, and personality are deemed valuable.&nbsp;This article provides insights into four of the leading humanoid robot projects from around the world.&nbsp;<h2>Selection Rationale</h2>The humanoid robots selected in this comparison represent the pinnacle of the current state of humanoid robotic technology. Each robot was selected based on its unique contributions to its field, ranging from technical capabilities to broadest application.&nbsp;Each selected robot is also in full production and either available for purchase or being used by their creators in real-time applications.&nbsp;<h2>Optimus by Tesla</h2>Also known as Tesla Bot, this general-purpose, bipedal, autonomous humanoid robot was created to perform unsafe, repetitive, or boring tasks. The company announced the robot's development in August 2021 and showed the prototype in 2022. Tesla's CEO, Elon Musk, claimed that Optimus will eventually be able to do "anything that humans don’t want to do."Tesla's Optimus can sort colored blocks by color, locate its limbs in space, do some yoga, and even poach an egg. In December 2023, Musk released a video showing an Optimus Generation 2 walking and dancing. The new robot features a slimmer figure and sleeker, more precise movements.&nbsp;The robot is planned to measure 5 ft 8 in (173 cm) tall and weigh 125 lb (57 kg), and it will be controlled by the same AI system that Tesla uses in its cars. With a carrying capacity of 45 lb (20 kg), it can provide manufacturing assistance, and Musk has already commented that the robots will be utilized in Tesla’s car factories by the end of 2024 to enhance the factory's efficiency and significantly reduce production costs.&nbsp;The first commercial units of Tesla's Optimus will launch in 2025.<img width="624" src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1719036519097-1719036519097.png" class="fr-fic fr-dii" style="width: 778px;">Optimus, by Tesla, promises to be the future of automation in manufacturing. Credit:&nbsp;<a href="https://www.tesla.com/en_eu/AI" target="_blank">Tesla</a><h2>Atlas by Boston Dynamics</h2>Atlas, engineered by leading robotic company Boston Dynamics, represents a huge leap forward for robotic mobility and adaptability. Debuting on July 11, 2013, Atlas was designed to traverse and interact with its surroundings with a fluidity and precision reminiscent of human motion. Constructed with robust plastics, titanium, and aluminum 3D printed parts, Atlas was originally &nbsp; driven by powerful hydraulic actuators, but now, the company has announced a fully electric robot. In widely shared videos, Atlas has demonstrated a broad spectrum of physical prowess, including running, leaping, and executing backflips easily. These types of motion are difficult as they require the robot to self-correct and consider environmental factors.&nbsp;Atlas uses a comprehensive sensor network powered by AI to facilitate meticulous navigation and the proficient completion of multifaceted tasks across diverse landscapes. Such capabilities mean Atlas may have a future in scenarios such as search and rescue or fire management, where its agility and adaptability can be leveraged to great effect.&nbsp;After being acquired by &nbsp;Hyundai in 2021, the focus will be testing and iterating Atlas applications in manufacturing environments. The company promises that the electric version of Atlas is stronger and has a broader range of motion than previous models.&nbsp;<iframe width="640" height="360" src="https://www.youtube.com/embed/-e1_QhJ1EhQ?&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> <h2>NAO by Aldebaran</h2>NAO is an autonomous, programmable humanoid robot originally developed by Aldebaran Robotics. SoftBank Robotics acquired the French company in 2015 and released NAO 3. In July 2022, the company was rebranded Aldebaran again.Nao is available as a research robot for schools, colleges and universities to teach programming as well as conducting research into human-robot interactions. Over 5,000 Nao robots are used in 200+ educational and research institutions in 70 countries. The robots are also used in healthcare scenarios, such as care homes.NAO6, the latest version, features 25 degrees of freedom and an inertial measurement unit with an accelerometer, gyroscope, and four ultrasonic sensors that support NAO with stability and movement. The robots are also equipped with seven touch sensors to perceive their environment and their speech recognition is available in 20 languages. The robot also has 5G capabilities.&nbsp;<img border="0" width="624" src="https://s3-us-west-1.amazonaws.com/wevolver-project-images/froala%2F1719036519109-1719036519109.png" class="fr-fic fr-dii">From supporting the education of autistic children to helping train International Space Station astronauts and assisting elderly patients in care homes, NAO robots have been integrated into education and healthcare applications. Credit:&nbsp;<a href="https://www.aldebaran.com/de/nao" target="_blank">Aldebaran</a><h2>Ameca by Engineered Arts</h2>Ameca, first developed by Engineered Arts in February 2021, is currently the most advanced human-shaped robot in the market, developed specifically for human-robot interaction. They are modular, upgradable, and easy to develop upon.With embedded microphones, binocular eye-mounted cameras, a chest camera, &nbsp;and facial recognition software, Ameca's interactions with the public work by GPT-3 or human telepresence. It also has motorized arms, fingers, neck, and facial features on grey rubber skin, designed to appear genderless. Engineered Arts has developed their own hardware, based on proprietory research into humanoid robotics, and built with their Mesmer technology, a system focused on powerful, cost-effective, and realistic humanoid robots.Ameca is currently associated with the Museum of the Future in Dubai (UEA), where people can interact with it.&nbsp;<iframe width="640" height="360" src="https://player.vimeo.com/video/651929733" 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> <h2>Technology Overview&nbsp;</h2>&nbsp;<table border="1" cellspacing="0" cellpadding="0" width="632"><tbody><tr><td width="12.341772151898734%" valign="bottom">Robot</td><td width="13.291139240506329%" valign="bottom">Company/Creator</td><td width="11.550632911392405%" valign="bottom">Vision &amp; Goal</td><td width="13.132911392405063%" valign="bottom">Materials</td><td width="17.088607594936708%" valign="bottom">AI Capabilities &amp; Technology</td><td width="16.139240506329113%" valign="bottom">Applications</td><td width="16.455696202531644%" valign="bottom">Command &amp; Agility</td></tr><tr><td width="12.341772151898734%">Optimus</td><td width="13.291139240506329%">Tesla&nbsp;</td><td width="11.550632911392405%">Replace humans in manufacturing operations for repetitive and dangerous tasks</td><td width="13.132911392405063%">Polyether Ether Ketone (PEEK)</td><td width="17.088607594936708%">Tesla-designed actuators and sensors</td><td width="16.139240506329113%">Manufacturing support and training</td><td width="16.455696202531644%">Carrying capacity of 20kg, can dance, boil eggs, do squats</td></tr><tr><td width="12.341772151898734%">Atlas</td><td width="13.291139240506329%">Boston Dynamics</td><td width="11.550632911392405%">Navigate and manipulate environments with human-like agility</td><td width="13.132911392405063%">Titanium and aluminum&nbsp;</td><td width="17.088607594936708%">Precise navigation, execution of complex tasks in varied terrains</td><td width="16.139240506329113%">Search and rescue, exploration, logistics</td><td width="16.455696202531644%">Responsive to commands, capable of running, jumping, performing backflips</td></tr><tr><td width="12.341772151898734%">NAO</td><td width="13.291139240506329%">Aldebaran</td><td width="11.550632911392405%">Human interaction and educational support</td><td width="13.132911392405063%">Polycarbonate-ABS plastic, polyamide, and carbon-fiber-reinforced thermoplastic</td><td width="17.088607594936708%">Conversational AI, personalized interaction based on facial recognition, collect information&nbsp;</td><td width="16.139240506329113%">Education, research, healthcare</td><td width="16.455696202531644%">Walk, dance, speak, and recognize faces and objects</td></tr><tr><td width="12.341772151898734%">Ameca</td><td width="13.291139240506329%">Engineered Arts</td><td width="11.550632911392405%">Development platform for testing AI and machine learning systems</td><td width="13.132911392405063%">Mesmer technology</td><td width="17.088607594936708%">Process complex data, recognize faces, comprehend speech, and adapt to different scenarios</td><td width="16.139240506329113%">Human interaction, a platform for developing AI</td><td width="16.455696202531644%">Advanced facial expression and human-like interactions</td></tr></tbody></table>&nbsp;<h2>Conclusion: The Pioneers of Humanoid Robotics - A Unified Perspective</h2>The exploration of Optimus, Atlas, NAO, and Ameca highlights the remarkable journey and achievements in humanoid robotics. Each robot, distinct in its capabilities and applications, contributes uniquely to the field. From Ameca's social interactions to Atlas's agility, NAO's educational support, and Optimus's manufacturing utility, these pioneers embody the diverse potential of robotics.Their materiality and design philosophies are tailored to specific applications, showcasing innovation in construction and functionality. The AI and technological advancements across these robots cover a broad spectrum, enabling them to perform tasks ranging from basic interactions to complex, autonomous problem-solving. Their deployment in healthcare, customer service, manufacturing exploration, and emergency response illustrates the expanding role of robotics in meeting intricate human needs.The integration of sophisticated command systems and remarkable agility demonstrates the evolving interface between humans and machines, pushing the boundaries of what humanoid robots can achieve. This unified perspective underlines the transformative impact of humanoid robotics, promising a future where their presence becomes an integral part of daily life and complex problem-solving across various sectors.

Exploring innovations, capabilities, and the future of robotic companions

A quick engineering comparison of cutting-edge humanoid robots

In this episode, we discuss research coming out of Columbia University to better connect humans with robots by having them detect, process, and respond to facial expressions!

Podcast: Finally! A Humanoid Robot You Can Trust

Our muscles are nature’s perfect actuators — devices that turn energy into motion. For their size, muscle fibers are more powerful and precise than most synthetic actuators. They can even heal from damage and grow stronger with exercise.For these reasons, engineers are exploring ways to power robots with natural muscles. They’ve demonstrated a handful of “biohybrid” robots that use muscle-based actuators to power artificial skeletons that walk, swim, pump, and grip. But for every bot, there’s a very different build, and no general blueprint for how to get the most out of muscles for any given robot design.Now, MIT engineers have developed a spring-like device that could be used as a basic skeleton-like module for almost any muscle-bound bot. The new spring, or “flexure,” is designed to get the most work out of any attached muscle tissues. Like a leg press that’s fit with just the right amount of weight, the device maximizes the amount of movement that a muscle can naturally produce.The researchers found that when they fit a ring of muscle tissue onto the device, much like a rubber band stretched around two posts, the muscle pulled on the spring, reliably and repeatedly, and stretched it five times more, compared with other previous device designs.The team sees the flexure design as a new building block that can be combined with other flexures to build any configuration of artificial skeletons. Engineers can then fit the skeletons with muscle tissues to power their movements.“These flexures are like a skeleton that people can now use to turn muscle actuation into multiple degrees of freedom of motion in a very predictable way,” says Ritu Raman, the Brit and Alex d'Arbeloff Career Development Professor in Engineering Design at MIT. “We are giving roboticists a new set of rules to make powerful and precise muscle-powered robots that do interesting things.”Raman and her colleagues report the details of the new flexure design in a&nbsp;<a href="https://onlinelibrary.wiley.com/doi/full/10.1002/aisy.202300834" target="_blank">paper appearing today</a> in the journal&nbsp;Advanced Intelligent&nbsp;Systems. The study’s MIT co-authors include Naomi Lynch ’12, SM ’23; undergraduate Tara Sheehan; graduate students Nicolas Castro, Laura Rosado, and Brandon Rios; and professor of mechanical engineering Martin Culpepper.<h2>Muscle pull</h2>When left alone in a petri dish in favorable conditions, muscle tissue will contract on its own but in directions that are not entirely predictable or of much use.“If muscle is not attached to anything, it will move a lot, but with huge variability, where it’s just flailing around in liquid,” Raman says.To get a muscle to work like a mechanical actuator, engineers typically attach a band of muscle tissue between two small, flexible posts. As the muscle band naturally contracts, it can bend the posts and pull them together, producing some movement that would ideally power part of a robotic skeleton. But in these designs, muscles have produced limited movement, mainly because the tissues are so variable in how they contact the posts. Depending on where the muscles are placed on the posts, and how much of the muscle surface is touching the post, the muscles may succeed in pulling the posts together but at other times may wobble around in uncontrollable ways.Raman’s group looked to design a skeleton that focuses and maximizes a muscle’s contractions regardless of exactly where and how it is placed on a skeleton, to generate the most movement in a predictable, reliable way.“The question is: How do we design a skeleton that most efficiently uses the force the muscle&nbsp;is generating?” Raman says.The researchers first considered the multiple directions that a muscle can naturally move. They reasoned that if a muscle is to pull two posts together along a specific direction, the posts should be connected to a spring that only allows them to move in that direction when pulled.“We need a device that is very soft and flexible in one direction, and very stiff in all other directions, so that when a muscle contracts, all that force gets efficiently converted into motion in one direction,” Raman says.<h2>Soft flex</h2>As it turns out, Raman found many such devices in Professor Martin Culpepper’s lab. Culpepper’s group at MIT specializes in the design and fabrication of machine elements such as miniature actuators, bearings, and other mechanisms, that can be built into machines and systems to enable ultraprecise movement, measurement, and control, for a wide variety of applications. Among the group’s precision machined elements are flexures — spring-like devices, often made from parallel beams, that can flex and stretch with nanometer precision.“Depending on how thin and far apart the beams are, you can change how stiff the spring appears to be,” Raman says.She and Culpepper teamed up to design a flexure specifically tailored with a configuration and stiffness to enable muscle tissue to naturally contract and maximally stretch the spring. The team designed the device’s configuration and dimensions based on numerous calculations they carried out to relate a muscle’s natural forces with a flexure’s stiffness and degree of movement.The flexure they ultimately designed is 1/100 the stiffness of muscle tissue itself. The device resembles a miniature, accordion-like structure, the corners of which are pinned to an underlying base by a small post, which sits near a neighboring post that is fit directly onto the base. Raman then wrapped a band of muscle around the two corner posts (the team molded the bands from live muscle fibers that they grew from mouse cells), and measured how close the posts were pulled together as the muscle band contracted.The team found that the flexure’s configuration enabled the muscle band to contract mostly along the direction between the two posts. This focused contraction allowed the muscle to pull the posts much closer together — five times closer — compared with previous muscle actuator designs.“The flexure is a skeleton that we designed to be very soft and flexible in one direction, and very stiff in all other directions,” Raman says. “When the muscle contracts, all the force is converted into movement in that direction. It’s a huge magnification.”The team found they could use the device to precisely measure muscle performance and endurance. When they varied the frequency of muscle contractions (for instance, stimulating the bands to contract once versus four times per second), they observed that the muscles “grew tired” at higher frequencies, and didn’t generate as much pull.“Looking at how quickly our muscles get tired, and how we can exercise them to have high-endurance responses — this is what we can uncover with this platform,” Raman says.The researchers are now adapting and combining flexures to build precise, articulated, and reliable robots, powered by natural muscles.“An example of a robot we are trying to build in the future is a surgical robot that can perform minimally invasive procedures inside the body,” Raman says. “Technically, muscles can power robots of any size, but we are particularly excited in making small robots, as this is where biological actuators excel in terms of strength, efficiency, and adaptability.”

MIT engineers have developed a new spring (shown in Petri dish) that maximizes the work of natural muscles. When living muscle tissue is attached to posts at the corners of the device, the muscle’s contractions pull on the spring, forming an effective, natural actuator. The spring can serve as a “skeleton” for future muscle-powered robots. Image: Felice Frankel

New modular, spring-like devices maximize the work of live muscle fibers so they can be harnessed to power biohybrid bots.

Engineers design flexible "skeletons" for soft, muscle-powered robots

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

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/f153920a-aca0-4937-863a-2cc925d11434?dark=false" class="fr-draggable" data-gtm-yt-inspected-9="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>Columbia engineers build Emo, a silicon-clad robotic face that makes eye contact and uses two AI models to anticipate and replicate a person’s smile before the person actually smiles -- a major advance in robots predicting human facial expressions accurately, improving interactions, and building trust between humans and robots.<section id="isPasted">What would you do if you walked up to a robot with a human-like head and it smiled at you first? You’d likely smile back and perhaps feel the two of you were genuinely interacting. But how does a robot know how to do this? Or a better question, how does it know to get you to smile back?While we’re getting accustomed to robots that are adept at verbal communication, thanks in part to advancements in large language models like ChatGPT, their nonverbal communication skills, especially facial expressions, have lagged far behind. Designing a robot that can not only make a wide range of facial expressions but also know when to use them has been a daunting task.&nbsp;</section><section><h2>Tackling the challenge</h2>The <a href="http://engineering.columbia.edu/" rel="nofollow" target="_blank">Creative Machines Lab</a> at <a href="http://engineering.columbia.edu/" rel="nofollow" target="_blank">Columbia Engineering</a> has been working on this challenge for more than five years. In a new study published today in <a href="https://www.science.org/doi/10.1126/scirobotics.adi4724" rel="nofollow" target="_blank">Science Robotics</a>, the group unveils Emo, a robot that anticipates facial expressions and executes them simultaneously with a human. It has even learned to predict a forthcoming smile about 840 milliseconds before the person smiles, and to co-express the smile simultaneously with the person.The team, led by <a href="https://www.engineering.columbia.edu/faculty/hod-lipson" rel="nofollow" target="_blank">Hod Lipson</a>, a leading researcher in the fields of artificial intelligence (AI) and robotics, faced two challenges: how to mechanically design an expressively versatile robotic face which involves complex hardware and actuation mechanisms, and knowing which expression to generate so that they appear natural, timely, and genuine. The team proposed training a robot to anticipate future facial expressions in humans and execute them simultaneously with a person. The timing of these expressions was critical -- delayed facial mimicry looks disingenuous, but facial co-expression feels more genuine since it requires correctly inferring the human's emotional state for timely execution.<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzExNTg1NTM0ODUxLXl1aGFuZy1odWEtb2YtY3JlYXRpdmUtbWFjaGluZXMtbGFiLWZhY2UtdG8tZmFjZS13aXRoLWVtby5wbmciLCJlZGl0cyI6eyJyZXNpemUiOnsid2lkdGgiOjk1MCwiZml0IjoiY292ZXIifX19" style="width: 100%px;" class="fr-fic fr-dib">Yuhang Hu of Creative Machines Lab face-to-face with Emo. Image: Courtesy of Creative Machines Lab<h2 id="isPasted">How Emo connects with you</h2>Emo is a human-like head with a face that is equipped with 26 actuators that enable a broad range of nuanced facial expressions. The head is covered with a soft silicone skin with a magnetic attachment system, allowing for easy customization and quick maintenance. For more lifelike interactions, the researchers integrated high-resolution cameras within the pupil of each eye, enabling Emo to make eye contact, crucial for nonverbal communication.The team developed two AI models: one that predicts human facial expressions by analyzing subtle changes in the target face and another that generates motor commands using the corresponding facial expressions.To train the robot how to make facial expressions, the researchers put Emo in front of the camera and let it do random movements. After a few hours, the robot learned the relationship between their facial expressions and the motor commands -- much the way humans practice facial expressions by looking in the mirror. This is what the team calls “self modeling” – similar to our human ability to imagine what we look like when we make certain expressions.Then the team ran videos of human facial expressions for Emo to observe them frame by frame. After training, which lasts a few hours, Emo could predict people’s facial expressions by observing tiny changes in their faces as they begin to form an intent to smile.“I think predicting human facial expressions accurately is a revolution in HRI. Traditionally, robots have not been designed to consider humans' expressions during interactions. Now, the robot can integrate human facial expressions as feedback,” said the study’s lead author Yuhang Hu, who is a PhD student at Columbia Engineering in Lipson’s lab. “When a robot makes co-expressions with people in real-time, it not only improves the interaction quality but also helps in building trust between humans and robots. In the future, when interacting with a robot, it will observe and interpret your facial expressions, just like a real person.”<iframe width="640" height="360" src="https://www.youtube.com/embed/pWTTzR_wXuQ?&amp;wmode=opaque&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-9="true" id="556492795" title="Human-Robot Facial Co-expression">&nbsp;</iframe>Go inside the Creative Machines Lab to watch Emo's facial co-expression. Video Credit: Yuhang Hu, Columbia Engineering<h2 id="isPasted">What’s next</h2>The researchers are now working to integrate verbal communication, using a large language model like ChatGPT into Emo. As robots become more capable of behaving like humans, Lipson is well aware of the ethical considerations associated with this new technology.“Although this capability heralds a plethora of positive applications, ranging from home assistants to educational aids, it is incumbent upon developers and users to exercise prudence and ethical considerations,” says Lipson, James and Sally Scapa Professor of Innovation in the Department of <a href="https://www.me.columbia.edu/" rel="nofollow" target="_blank">Mechanical Engineering</a> at Columbia Engineering, co-director of the <a href="https://make.columbia.edu/" rel="nofollow" target="_blank">Makerspace</a> at Columbia, and a member of the <a href="https://datascience.columbia.edu/" rel="nofollow" target="_blank">Data Science Institute</a>. “But it’s also very exciting -- by advancing robots that can interpret and mimic human expressions accurately, we're moving closer to a future where robots can seamlessly integrate into our daily lives, offering companionship, assistance, and even empathy. Imagine a world where interacting with a robot feels as natural and comfortable as talking to a friend.”&nbsp;</section>

The study's lead author, Yuhang Hu, a PhD student at Columbia Engineering in Hod Lipson’s lab. Credit: John Abbott/Columbia Engineering

Columbia engineers build Emo, a silicon-clad robotic face that makes eye contact and uses two AI models to anticipate and replicate a person’s smile before the person actually smiles 

Robot, can you say 'Cheese'?

In this episode, we discuss how CalTech researchers have created bionic jellyfish to help us explore the oceans and better understand the impacts of climate change.

Podcast: Jellyfish Cyborgs Help Explore The Oceans & Solve Climate Change

The digital revolution has undeniably transformed how we access information and complete tasks, with laptops, tablets, and smartphones becoming ubiquitous companions in both our personal and professional lives. While these devices offer undeniable benefits, their constant use can also pose new challenges to our well-being, raising concerns about potential impacts on visual health and musculoskeletal function.One emerging area of concern is the intersection of presbyopia, a natural age-related decline in near vision, and the use of progressive lenses. These lenses, often referred to as 'no-line bifocals', &nbsp;provide wearers with a seamless transition between near and far vision, addressing the challenges of presbyopia. However, research suggests that the way we use progressive lenses, with their specific viewing zones, may subtly alter our head and neck postures, potentially leading to discomfort or even musculoskeletal disorders.To shed light on this issue, FREMAP, a leading Spanish mutual benefit association, embarked on a <a href="https://practicapreventiva.fremap.es/2023/02/09/uso-de-dispositivos-digitales-con-gafas-progresivas/" target="_blank" rel="noopener noreferrer">research</a> study to objectively assess the impact of progressive lenses on workplace ergonomics. Their primary objective was to quantify the visual and postural changes associated with using these lenses in a typical workstation environment. <img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzEwODM2NzM4NDQxLWVtaWFwLTEuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 100%px;" class="fr-fic fr-dib">Worker wearing progressive lenses with the Xsens motion capture sensors to analyze postural changesTo achieve this objective, the research team, led by National Ergonomics Consultant at FREMAP Prevention, D. Antonio Emir Díaz Martínez, employed <a href="https://www.movella.com/products/motion-capture" target="_blank" rel="noopener noreferrer">Xsens Motion Capture technolog</a>y, specifically an upper body configuration with 11 strategically placed inertial sensors. This system was integrated with FREMAP's own ergonomics recording, analysis and representation software, utilizing <a href="https://www.movella.com/products/motion-capture/mvn-analyze" target="_blank" rel="noopener noreferrer">Xsens Analyze Pro</a> for data processing. This setup allowed for the accurate capture and analysis of human movement and posture data.Antonio Emir Díaz Martínez, commented: "The use of this system allows us to quantify, concisely, precisely, and without interference with normal working conditions, the postural requirements of the cervical spine in workplaces with screens for data visualization. This is thanks to having a software solution that removes the possible interferences caused by local magnetic fields."By leveraging Xsens Motion Capture, the FREMAP researchers were able to quantify the precise head and neck movements associated with using progressive lenses while interacting with a computer screen.The research involved monitoring the grazing and cervical spine movements of a worker wearing progressive glasses while they interacted with a computer workstation. To ensure standardized conditions, the upper part of the screen was positioned at eye level, maintaining a distance of 60 cm from the worker. Additionally, the worker's posture was controlled by having them maintain their back against the chair's backrest and their elbows bent at an angle of approximately 80 degrees.Research Findings and RecommendationsThe analysis revealed that participants maintained consistent neck extension throughout the study, exceeding recommended ergonomic limits. This posture is likely linked to the need to look through the lower portion of progressive lenses for optimal near vision. While neck turning remained within acceptable limits, occasional lateral tilts suggest further ergonomic adjustments may be necessary.Based on the findings, the research makes the following recommendations for progressive lens users.<ul><li>Screen Positioning:&nbsp;Ensure the screen is positioned correctly for optimal viewing. Adjust the viewing distance based on task and screen size (400-750 mm for common office monitors). Consider increasing font size for individuals with progressive lenses to increase viewing distance and minimize reliance on the lower lens segment.</li><li>Screen Height: For progressive lens users, reduce the screen height significantly compared to the standard recommendation of aligning the top of the screen with eye level. This helps avoid neck extension for viewing through the lower lens zone.</li><li>Document Holders: Utilize adjustable lecterns or document holders to facilitate switching between digital and printed materials, minimizing strain on eye accommodation.</li><li>Recovery Breaks:&nbsp;Encourage frequent breaks to rest the eyes and change posture, especially for those wearing progressive lenses.</li><li>Occupational Spectacles: For individuals with presbyopia and prolonged digital device use, consider occupational spectacles specifically designed for computer work.</li><li>Training and Awareness:&nbsp;Educate first-time progressive lens users about adaptation exercises and the importance of adjusting their workstation layout. Encourage them to adopt healthy postural habits and avoid extended periods of static posture at their workstation.</li></ul>By implementing these recommendations, individuals who rely on progressive lenses can create a more ergonomically friendly workspace and potentially mitigate the risks associated with prolonged computer use.This research project by FREMAP provides valuable insights into the potential impact of progressive lenses on workplace ergonomics. By utilizing advanced motion capture technology like Xsens, the study offers a quantifiable and objective perspective on this complex issue. The findings can help inform future research, guide the development of ergonomic interventions, and ultimately contribute to promoting healthy workplace practices for individuals reliant on progressive lenses.Xsens motion capture for ergonomics assessments<img src="https://images.wevolver.com/eyJidWNrZXQiOiJ3ZXZvbHZlci1wcm9qZWN0LWltYWdlcyIsImtleSI6ImZyb2FsYS8xNzEwODM3MDc2NDU2LWVtaWFwLTIuanBnIiwiZWRpdHMiOnsicmVzaXplIjp7IndpZHRoIjo5NTAsImZpdCI6ImNvdmVyIn19fQ==" style="width: 100%px;" class="fr-fic fr-dib">Accurate motion data: Xsens Awinda Motion Capture Technology featuring 18 inertial sensorsEnsuring proper workplace ergonomics is crucial for employee well-being, regulatory compliance, and increased productivity. This focus stems from the significant prevalence of musculoskeletal disorders (MSDs), often linked to poor ergonomics, affecting nearly 1.71 billion people globally.However, traditional assessment methods can be time-consuming and rely on subjective observations, potentially hindering accurate risk identification. Xsens Motion capture technology offers a compelling solution. Xsens captures objective and validated data on worker movements, eliminating subjectivity and increasing data collection efficiency. This empowers companies to swiftly identify potential hazards and make informed decisions regarding workplace design and modifications. Ultimately, this fosters safer and more productive workspaces, leading to a thriving and healthy working environment for all.<a href="https://www.movella.com/applications/health-sports/workplace-ergonomics" target="_blank" rel="noopener noreferrer">Learn more</a> about Xsens solutions for workplace ergonomics.&nbsp;

FREMAP uses Xsens motion capture to analyze the ergonomic impact of progressive lenses in the workplace and makes recommendations for improvement

Ergonomic impact of progressive lenses in the workplace

In this episode, we discuss a novel sticker capable of monitoring the health of organs in real time allowing for more successful organ transplants and catching signs of diseases earlier than ever!

Podcast: Sticker to Monitor Your Internal Organs

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Humanoids

Humanoids

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