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Tag: Robotics

  • Robots in Hospitals Pass Patient Testing Phase

    Robots in Hospitals Pass Patient Testing Phase

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    A collection of eight robots designed by PAL Robotics and trialed by researchers collaborating across multiple universities in Europe and the Middle East have successfully passed the testing phase with patients. The robots, referred to as SPRING (Socially Assistive Robots in Gerontological Healthcare), are designed to provide comfort to elderly patients and alleviate their anxiety, while reducing the burden placed on nursing staff in busy environments. 

    “We believe that the SPRING project marks a significant milestone in the development of interactive robotics, and we are proud of its achievements, while recognising the exciting challenges that lie ahead,” Oliver Lemon, a professor of AI and academic co-lead at the National Robotarium stated in a press release.

    The results of the tests showed that robots were able to perform routine tasks like greeting patients, provide directions, and answer questions during the initial trials in Assistance Publique Hopitaux de Paris in France. They were also able to understand group conversations and facilitate assistance based on what patients asked of them. These advances were made possible by the progress seen in large language models in recent years, the type of artificial intelligence technology that powers ChatGPT

    The use of robots also reduced the amount of physical contact healthcare workers had with patients, which could help reduce the spread of infections in hospital settings. 

    The SPRING project began nearly four and half years ago and is funded by Horizon 2020, a research and innovation initiative by the European Union. 

    “The prospect of robots seamlessly collaborating with hospital staff to enhance the patient experience is now closer to reality” said Lemon.

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    Anna Gordon

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  • What CES 2024 told us about the home robot | TechCrunch

    What CES 2024 told us about the home robot | TechCrunch

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    Few tech demos can match the spectacle of robotics. Even as the field grows increasingly prevalent in a broad range of industrial workplaces, mechatronics doing impressive things will never cease to amaze. For many, the mere presence of a robot is shorthand for the future, and for big electronics firms, it’s a quick and simple method to let shareholders and customers know your company is still innovating.

    Whether or not those robots actually lead to salable products is almost beside the point. So long as you have other real products coming to market in the next few months, those futuristic demos can disappear for all anyone cares. Remember that robot chef Samsung “debuted” at CES 2020? It was a month or so before COVID swallowed the world, so probably not.

    But it did what it needed to and — to the best of our knowledge — went away. At least the “return” of Ballie demonstrated that Samsung hasn’t lost interest in the home robot. The spherical home patrolling ’bot, which now contains a projector, is — at the very least — a more realistic vision for home robots near-term. While I certainly wouldn’t bet good money that the thing will ever make it to market here, Korea or anywhere, Ballie is a perfectly achievable goal.

    Whether it’s a good goal is another question entirely. I firmly believe that the home robot has life beyond Roomba. So why — after 20+ years — do we have little more to show for it than a bunch of robot vacuums? It’s one of those simple questions with deceptively complex answers. Functionality is a big piece. Most robots in this world are single purpose. They’re designed to do one specific thing well over and over until they can’t anymore.

    After years of banging their collective heads against the wall, iRobot hit pay dirt with the first Roomba in late 2002. It was an idea so good that no one has topped it since. Instead, conservatively tens of millions of dollars go into R&D across countless companies aimed at building a better robot vacuum. And yes, the Roombas of today are vast improvements over their ancestors. They’re smarter, have a better sense of space, figured out how to mop and — most importantly — won’t track animal shit across your carpet.

    Security has long been floated as a second killer application for the home. The idea makes enough sense on the face of it. Why settle for a Ring cam when you can get a Ring Cam on wheels? (Granted there are plenty of good reasons for this, but that’s beside the point.) That was the main selling point behind Amazon’s Astro. That the robot hasn’t been a rousing success is due in no small part to limited functionality combined with a prohibitive price point. It’s a combination that Ballie will almost certainly suffer from, should it ever actually come to market.

    Matic’s vacuum uses an array of cameras to map spaces — and understand where it is in them. Image Credits: Matic

    Unfortunately, I was only able to take two meetings at this year’s CES due to illness. One, however, happens to be very relevant for this specific conversation. Matic is — for most intents and purposes — yet another robot vacuum looking to make a name in a very crowded space. The reason we covered the company’s November launch and why I agreed to meet with them this week is a combination of their unique approach to the category in addition to its founders’ pedigrees and financial backing from knowledgeable sources.

    What really jumped out at me during our conversation is that the company has effectively built a home robotics platform that appears to be pretty good at vacuuming and mopping. I’ve been thinking of it a bit like Nvidia’s Nova Carter mobile reference robot. In the process of cleaning homes, you get better and better at navigating using the on-board vision system. Should Matic or someone else master the home equivalent to level 5 autonomy, you’ve got yourself a great foundation for additional functionality.

    But what, precisely, will the silver bullet be? The smart money is on another chore people hate doing, but the current factory still presents too many limitations. An affordable, robust mobile grasper is another one of those surprisingly complex issues that a lot of people have been working on for a long time. But as with the world of autonomous mobile warehouse robotics, it’s easy to imagine how attaching a gripper to one opens a new world of functionality.

    You would probably want that robot to reach high places and traverse stairs. You can start with a drone foundation — that addresses the question of mobility well — but the payloads, and therefore functionality, is still very limited if you don’t want something the size of a Honda Civic floating around your home.

    So naturally, we end up where we often do these days. You start by attaching arms, then you bring legs. Suddenly you’re looking at something that looks a lot more like yourself. This is a big part of the reason many roboticists just can’t quit humanoids. Even more so than factories and warehouses, our homes are built for ourselves, so it tracks that we would build something that looks like us to navigate those spaces.

    Of course, no one is ready to have a serious conversation about humanoids in the home just yet. There have been plenty of unserious ones, of course, but no one is expecting a commercially available general-purpose humanoid home robot this year. Again, there are several reasons. The first and most obvious is price. Enterprise still makes way more sense in the short term. Corporations have deep pockets and will spend a lot if they believe it will save them in the end. The demand for industrial automation has also been proven out time and again.

    Warehouses are also just generally easier to navigate than homes. At the end of the day, they are significantly more structured and uniform. Also, each one of these robots is going to enter the work force with a single job. They’ll do it repetitively until they perfect it and then maybe learn another job. In most cases in most factories and warehouses, however, there are plenty of repetitive around-the-clock jobs to keep these systems busy for a long time. After the Roomba, consumers are going to demand home robots that can do more.

    ElliQ 3.0

    Image Credits: Intuition Robotics

    The other big question mark in all of this is generative AI. It was prevalent at CES to the point of almost losing all meaning, and there are days when I’m annoyed with myself for adding to that chorus. But generative AI will have a profound impact on robotics, full stop. There are a lot of different venues, but at least two — learning and natural language — lead back to eventual general-purpose systems. The bad news, however, is that optimistic projections put that roadmap out about five years, minimum.

    This was a big year for robotics at CES. At same time, we frustratingly don’t feel any closer to ubiquitous home robots than we were this same time last year. That’s not to say the near-term roadmap is devoid of interesting plays. For something more realistic than a chicken in every pot and two Teslabots in every garage, we should examine the age tech space. AARP’s accelerator (who, along with Samsung was the other meeting I was able to take this year) is doing fine work to shine a spotlight on this category.

    Japan invariably comes up in every conversation around the category, because the country has been out ahead of the rest of the world, owing to its own aging population. Robots are a big part of that. So far, they seem to be less prevalent in the broader age tech category, but there’s a lot of room to navigate. Most of these devices are aimed at finding ways for older people to continue living independently. It’s easy to see the role robots can — and will — play.

    In past years, we’ve highlighted Labrador’s assistive cart system. This year, we saw the return of the desktop ElliQ robot assistant. If I was looking for a way to get robots into the home right now, this is exactly the demographic I would be targeting. And not to be too crass about the topic, but Baby Boomers currently control 70% of the country’s disposable income. Not a bad place to start, if you ask me.

    Read more about CES 2024 on TechCrunch

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    Brian Heater

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  • Advances in Knee Replacement Surgery Enable More Patients to Go Home the Same Day

    Advances in Knee Replacement Surgery Enable More Patients to Go Home the Same Day

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    Newswise — Knee replacement surgery in the morning, and back home that evening? Many patients are surprised to learn it is an option. Forgoing a night in the hospital has become increasingly common, and improvements in knee replacement technology, surgical technique and pain management make it possible, says Martin W. Roche, MD, an orthopedic surgeon and director of joint replacement at HSS Florida in West Palm Beach.

    Many patients are pleased to spend the first night after surgery in the comfort of their own home, he says. “We’ve come a long way in terms of being able to get people up and out of the hospital quickly, and that motivates them mentally, as well,” he explains.

    Dr. Roche points to advances over the past five years or so that benefit patients and can lead to a faster recovery: a CT scan before surgery to create a 3D model of the patient’s knee to plan a highly personalized procedure; the use of surgical robotics and sensors that allow for a high degree of precision and accuracy; less invasive, muscle-sparing surgery performed with smaller incisions; and a program called “pre-habilitation,” in which patients begin physical therapy to get stronger prior to knee replacement.

    A longer-lasting regional nerve block and a technique known as multimodal analgesia result in better pain control after surgery − another advantage for patients wishing to leave the hospital the same day, according to Dr. Roche. The technique uses various medications that target multiple pain pathways, as needed, and generally lessens the need for opioid medications.

    The best candidates for outpatient knee replacement are highly motivated individuals in good general health who have the right home environment, including support from family, a friend or a caregiver. 

    Seventy-three-year-old Robert Fleetwood fit the bill. He was motivated to have joint replacement in both knees not only to relieve arthritis pain, but to get back to the athletic activities that were once his passion. He said he was happy to learn he was a candidate for ambulatory surgery. He had two knee replacements several months apart last year and each time went home the same day.

    Dr. Fleetwood, who lives in Stuart, says it changed his life. This year, he participated in a 1K Navy SEAL memorial open water swim, competing with many people half his age. He came in second out of participants ages 60 and up, and 30th out of about 150 swimmers. He is also back to running for exercise for the first time in more than 20 years.

    Dr. Fleetwood, who has a PhD in clinical and industrial organization psychology, travels to Atlanta about 12 times a year for work. Before the knee replacements, he dreaded all the walking at the airport. He is thrilled that he can now travel pain-free.

    “It changes your perspective on life. It makes you feel so much more alive and dynamic when you’re not living with chronic pain that becomes debilitating,” he explains. “I’m very happy now.” 

    About HSS

    HSS is the world’s leading academic medical center focused on musculoskeletal health. At its core is Hospital for Special Surgery, nationally ranked No. 1 in orthopedics (for the 14th consecutive year), No. 2 in rheumatology by U.S. News & World Report (2023-2024), and the best pediatric orthopedic hospital in NY, NJ and CT by U.S. News & World Report “Best Children’s Hospitals” list (2023-2024). In a survey of medical professionals in more than 20 countries by Newsweek, HSS is ranked world #1 in orthopedics for a fourth consecutive year (2023). Founded in 1863, the Hospital has the lowest readmission rates in the nation for orthopedics, and among the lowest infection and complication rates. HSS was the first in New York State to receive Magnet Recognition for Excellence in Nursing Service from the American Nurses Credentialing Center five consecutive times. An affiliate of Weill Cornell Medical College, HSS has a main campus in New York City and facilities in New Jersey, Connecticut and in the Long Island and Westchester County regions of New York State, as well as in Florida. In addition to patient care, HSS leads the field in research, innovation and education. The HSS Research Institute comprises 20 laboratories and 300 staff members focused on leading the advancement of musculoskeletal health through prevention of degeneration, tissue repair and tissue regeneration. In addition, more than 200 HSS clinical investigators are working to improve patient outcomes through better ways to prevent, diagnose, and treat orthopedic, rheumatic and musculoskeletal diseases. The HSS Innovation Institute works to realize the potential of new drugs, therapeutics and devices. The HSS Education Institute is a trusted leader in advancing musculoskeletal knowledge and research for physicians, nurses, allied health professionals, academic trainees, and consumers in more than 165 countries. The institution is collaborating with medical centers and other organizations to advance the quality and value of musculoskeletal care and to make world-class HSS care more widely accessible nationally and internationally. www.hss.edu.

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    Hospital for Special Surgery

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  • Robotics Q&A: CMU’s Matthew Johnson-Roberson | TechCrunch

    Robotics Q&A: CMU’s Matthew Johnson-Roberson | TechCrunch

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    Johnson-Roberson is one of those double threats who offers insight from two different — and important — perspectives. In addition to his long academic career, which most recently found him working as a professor at the University of Michigan College of Engineering, he also has a solid startup CV.

    Johnson-Roberson also co-founded and serves as the co-founder and CTO of robotic last-mile delivery startup Refraction AI.

    What role(s) will generative AI play in the future of robotics?

    Generative AI, through its ability to generate novel data and solutions, will significantly bolster the capabilities of robots. It could enable them to better generalize across a wide range of tasks, enhance their adaptability to new environments, and improve their ability to autonomously learn and evolve.

    What are your thoughts on the humanoid form factor?

    The humanoid form factor is a really complex engineering and design challenge. The desire to mimic human movement and interaction creates a high bar for actuators and control systems. It also presents unique challenges in terms of balance and coordination. Despite these challenges, the humanoid form has the potential to be extremely versatile and intuitively usable in a variety of social and practical contexts, mirroring the natural human interface and interaction. But we probably will see other platforms succeed before these.

    Following manufacturing and warehouses, what is the next major category for robotics?

    Beyond manufacturing and warehousing, the agricultural sector presents a huge opportunity for robotics to tackle challenges of labor shortage, efficiency, and sustainability. Transportation and last-mile delivery are other arenas where robotics can drive efficiency, reduce costs, and improve service levels. These domains will likely see accelerated adoption of robotic solutions as the technologies mature and as regulatory frameworks evolve to support wider deployment.

    How far out are true general-purpose robots?

    The advent of true general-purpose robots, capable of performing a wide range of tasks across different environments, may still be a distant reality. It requires breakthroughs in multiple fields including AI, machine learning, materials science, and control systems. The journey toward achieving such versatility is a step-by-step process where robots will gradually evolve from being task-specific to being more multi-functional and eventually general purpose.

    Will home robots (beyond vacuums) take off in the next decade?

    The next decade might witness the emergence of home robots in specific niches, such as eldercare or home security. However, the vision of having a general-purpose domestic robot that can autonomously perform a variety of household tasks is likely further off. The challenges are not just technological but also include aspects like affordability, user acceptance, and ethical considerations.

    What important robotics story/trend isn’t getting enough coverage?

    Despite significant advancements in certain niche areas and successful robotic implementations in specific industries, these stories often get overshadowed by the allure of more futuristic or general-purpose robotic narratives. The incremental but impactful successes in sectors like agriculture, healthcare, or specialized industrial applications deserve more spotlight as they represent the real, tangible progress in the field of robotics.

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    Brian Heater

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  • How faces teach robots to smile

    How faces teach robots to smile

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    Newswise — Osaka, Japan – Robots able to display human emotion have long been a mainstay of science fiction stories. Now, Japanese researchers have been studying the mechanical details of real human facial expressions to bring those stories closer to reality.

    In a recent study published by the Mechanical Engineering Journal, a multi-institutional research team led by Osaka University have begun mapping out the intricacies of human facial movements. The researchers used 125 tracking markers attached to a person’s face to closely examine 44 different, singular facial actions, such as blinking or raising the corner of the mouth.

    Every facial expression comes with a variety of local deformation as muscles stretch and compress the skin. Even the simplest motions can be surprisingly complex. Our faces contain a collection of different tissues below the skin, from muscle fibers to fatty adipose, all working in concert to convey how we’re feeling. This includes everything from a big smile to a slight raise of the corner of the mouth. This level of detail is what makes facial expressions so subtle and nuanced, in turn making them challenging to replicate artificially. Until now, this has relied on much simpler measurements, of the overall face shape and motion of points chosen on skin before and after movements.

    “Our faces are so familiar to us that we don’t notice the fine details,” explains Hisashi Ishihara, main author of the study. “But from an engineering perspective, they are amazing information display devices. By looking at people’s facial expressions, we can tell when a smile is hiding sadness, or whether someone’s feeling tired or nervous.”

    Information gathered by this study can help researchers working with artificial faces, both created digitally on screens and, ultimately, the physical faces of android robots. Precise measurements of human faces, to understand all the tensions and compressions in facial structure, will allow these artificial expressions to appear both more accurate and natural.

    “The facial structure beneath our skin is complex,” says Akihiro Nakatani, senior author. “The deformation analysis in this study could explain how sophisticated expressions, which comprise both stretched and compressed skin, can result from deceivingly simple facial actions.”

    This work has applications beyond robotics as well, for example, improved facial recognition or medical diagnoses, the latter of which currently relies on doctor intuition to notice abnormalities in facial movement.

    So far, this study has only examined the face of one person, but the researchers hope to use their work as a jumping off point to gain a fuller understanding of human facial motions. As well as helping robots to both recognize and convey emotion, this research could also help to improve facial movements in computer graphics, like those used in movies and video games, helping to avoid the dreaded ‘uncanny valley’ effect.

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    Osaka University

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  • An industrial robot crushes worker to death at a plant in South Korea

    An industrial robot crushes worker to death at a plant in South Korea

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    SEOUL, South Korea — An industrial robot grabbed and crushed a worker to death at a vegetable packaging plant in South Korea, police said Thursday, as they investigated whether the machine was defective or improperly designed.

    Police said early evidence suggests that human error was more likely to blame rather than problems with the machine itself. But the incident still triggered public concern about the safety of industrial robots and the false sense of security they may give to humans working nearby in a country that increasingly relies on such machines to automate its industries.

    Police in the southern county of Goseong said the man died of head and chest injuries Tuesday evening after he was snatched and pressed against a conveyor belt by the machine’s robotic arms.

    Police did not identify the man but said he was an employee of a company that installs industrial robots and was sent to the plant to examine whether the machine was working properly.

    South Korea has had other accidents involving industrial robots in recent years. In March, a manufacturing robot crushed and seriously injured a worker who was examining it at an auto parts factory in Gunsan. Last year, a robot installed near a conveyor belt fatally crushed a worker at a milk factory in Pyeongtaek.

    The machine that caused the death on Tuesday was one of two pick-and-place robots used at the facility, which packages bell peppers and other vegetables exported to other Asian countries, police said. Such machines are common in South Korea’s agricultural communities, which are struggling with a declining and aging workforce.

    “It wasn’t an advanced, artificial intelligence-powered robot, but a machine that simply picks up boxes and puts them on pallets,” said Kang Jin-gi, who heads the investigations department at Gosong Police Station. He said police were working with related agencies to determine whether the machine had technical defects or safety issues.

    Another police official, who did not want to be identified because he wasn’t authorized to talk to reporters, said police were also looking into the possibility of human error. The robot’s sensors are designed to identify boxes, and security video indicated the man had moved near the robot with a box in his hands which likely triggered the machine’s reaction, the official said.

    “It’s clearly not a case where a robot confused a human with a box -– this wasn’t a very sophisticated machine,” he said.

    According to data from the International Federation of Robotics, South Korea had 1,000 industrial robots per 10,000 employees in 2021, the highest density in the world and more than three times the number in China that year. Many of South Korea’s industrial robots are used in major manufacturing plants such as electronics and auto-making.

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  • Robotics funding saw another dip in 2023 | TechCrunch

    Robotics funding saw another dip in 2023 | TechCrunch

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    In 2021, robotics startups were flying high. Unlike other categories that had buckled under the strains of a global pandemic, interest in automation was at an all-time high, as companies attempted to navigate supply chain issues and ongoing labor shortages. Robotics and automation were insulated from broader investment slowdowns, but eventually, they, too, were impacted.

    It’s not as though the signs haven’t been there. I kicked off the year with a post titled, “The thing we thought was happening with robotic investments is definitely happening.” That thing being investment slowdowns. After a banner year, 2022 was the second-worst year for robotics investments in the past five.

    It was second only to 2020, which was one of those once in a life time global anomalies. Totally understandable in that case. That figure represented the five straight quarters of decline in VC money.

    Image Credits: Crunchbase

    Today, new numbers from Crunchbase point to another annual decline for 2023. The year isn’t quite over, of course, but year-to-date investments in the U.S. market are at $2.7 billion, down from $5 billion last year, $9.1 billion in 2021 and even the $3.4 billion that came through in 2020.

    There are a couple of things at play here. First, we knew that initial excitement wouldn’t last forever. Some of the world has gotten back to normal, relieving some of the pressure to automate as soon as possible. Second, there are macro trends to contend with.

    VC investments have slowed more broadly, and that’s now touching on robotics. The good news, however, is that the category has remained steady relative to the rest of the landscape. The spike in interest around generative AI — and all things artificial intelligence — has been a piece of maintaining its place.

    The last few years have also afforded robotics firms a chance to prove their efficacy in the real world, demonstrating the value of automation beyond the manufacturing sector that we’ve been seeing for several decades now.

    Robot sales also recently saw a decrease, courtesy of economic headwinds following the initial pandemic surge.

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    Brian Heater

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  • Humanoid robots are here, but they’re a little awkward. Do we really need them?

    Humanoid robots are here, but they’re a little awkward. Do we really need them?

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    Building a robot that’s both human-like and useful is a decades-old engineering dream inspired by popular science fiction.

    While the latest artificial intelligence craze has sparked another wave of investments in the quest to build a humanoid, most of the current prototypes are clumsy and impractical, looking better in staged performances than in real life. That hasn’t stopped a handful of startups from keeping at it.

    “The intention is not to start from the beginning and say, ‘Hey, we’re trying to make a robot look like a person,’” said Jonathan Hurst, co-founder and chief robot officer at Agility Robotics. “We’re trying to make robots that can operate in human spaces.”

    Do we even need humanoids? Hurst makes a point of describing Agility’s warehouse robot Digit as human-centric, not humanoid, a distinction meant to emphasize what it does over what it’s trying to be.

    What it does, for now, is pick up tote bins and move them. Amazon announced in October it will begin testing Digits for use in its warehouses, and Agility opened an Oregon factory in September to mass produce them.

    Digit has a head containing cameras, other sensors and animated eyes, and a torso that essentially works as its engine. It has two arms and two legs, but its legs are more bird-like than human, with an inverted knees appearance that resembles so-called digitigrade animals such as birds, cats and dogs that walk on their toes rather than on flat feet.

    Rival robot-makers, like Figure AI, are taking a more purist approach on the idea that only true humanoids can effectively navigate workplaces, homes and a society built for humans. Figure also plans to start with a relatively simple use case, such as in a retail warehouse, but aims for a commercial robot that can be “iterated on like an iPhone” to perform multiple tasks to take up the work of humans as birth rates decline around the world.

    “There’s not enough people doing these jobs, so the market’s massive,” said Figure AI CEO Brett Adcock. “If we can just get humanoids to do work that humans are not wanting to do because there’s a shortfall of humans, we can sell millions of humanoids, billions maybe.”

    At the moment, however, Adcock’s firm doesn’t have a prototype that’s ready for market. Founded just over a year ago and after having raised tens of millions of dollars, it recently revealed a 38-second video of Figure walking through its test facility in Sunnyvale, California.

    Tesla CEO Elon Musk is also trying to build a humanoid, called Optimus, through the electric car-maker’s robotics division, but a hyped-up live demonstration last year of the robot’s awkwardly halting steps didn’t impress experts in the robotics field. Seemingly farther along is Tesla’s Austin, Texas-based neighbor Apptronik, which unveiled its Apollo humanoid in an August video demonstration.

    All the attention — and money — poured into making ungainly humanoid machines might make the whole enterprise seem like a futile hobby for wealthy technologists, but for some pioneers of legged robots it’s all about what you learn along the way.

    “Not only about their design and operation, but also about how people respond to them, and about the critical underlying technologies for mobility, dexterity, perception and intelligence,” said Marc Raibert, the co-founder of Boston Dynamics, best known for its dog-like robots named Spot.

    Raibert said sometimes the path of development is not along a straight line. Boston Dynamics, now a subsidiary of carmaker Hyundai, experimented with building a humanoid that could handle boxes.

    “That led to development of a new robot that was not really a humanoid, but had several characteristics of a humanoid,” he said via an emailed message. “But the changes resulted in a new robot that could handle boxes faster, could work longer hours, and could operate in tight spaces, such as a truck. So humanoid research led to a useful non-humanoid robot.”

    Some startups aiming for human-like machines focused on improving the dexterity of robotic fingers before trying to get their robots to walk.

    Walking is “not the hardest problem to solve in humanoid robotics,” said Geordie Rose, co-founder and CEO of British Columbia, Canada-based startup Sanctuary AI. “The hardest problem is the problem of understanding the world and being able to manipulate it with your hands.”

    Sanctuary’s newest and first bipedal robot, Phoenix, can stock shelves, unload delivery vehicles and operate a checkout, early steps toward what Rose sees as a much longer-term goal of getting robots to perceive the physical world to be able to reason about it in a way that resembles intelligence. Like other humanoids, it’s meant to look endearing, because how it interacts with real people is a big part of its function.

    “We want to be able to provide labor to the world, not just for one thing, but for everybody who needs it,” Rose said. “The systems have to be able to think like people. So we could call that artificial general intelligence if you’d like. But what I mean more specifically is the systems have to be able to understand speech and they need to be able to convert the understanding of speech into action, which will satisfy job roles across the entire economy.”

    Agility’s Digit robot caught Amazon’s attention because it can walk and also move around in a way that could complement the e-commerce giant’s existing fleet of vehicle-like robots that move large carts around its vast warehouses.

    “The mobility aspect is more interesting than the actual form,” said Tye Brady, Amazon’s chief technologist for robotics, after the company showed it off at a media event in Seattle.

    Right now, Digit is being tested to help with the repetitive task of picking up and moving empty totes. But just having it there is bound to resurrect some fears about robots taking people’s jobs, a narrative Amazon is trying to prevent from taking hold.

    Agility Robotics co-founder and CEO Damion Shelton said the warehouse robot is “just the first use case” of a new generation of robots he hopes will be embraced rather than feared as they prepare to enter businesses and homes.

    “So in 10, 20 years, you’re going to see these robots everywhere,” Shelton said. “Forever more, human- centric robots like that are going to be part of human life. So that’s pretty exciting.”

    —-

    AP writer Haleluya Hadero contributed to this report.

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  • Humanoid robots are here, but they’re a little awkward. Do we really need them?

    Humanoid robots are here, but they’re a little awkward. Do we really need them?

    [ad_1]

    Building a robot that’s both human-like and useful is a decades-old engineering dream inspired by popular science fiction.

    While the latest artificial intelligence craze has sparked another wave of investments in the quest to build a humanoid, most of the current prototypes are clumsy and impractical, looking better in staged performances than in real life. That hasn’t stopped a handful of startups from keeping at it.

    “The intention is not to start from the beginning and say, ‘Hey, we’re trying to make a robot look like a person,’” said Jonathan Hurst, co-founder and chief robot officer at Agility Robotics. “We’re trying to make robots that can operate in human spaces.”

    Do we even need humanoids? Hurst makes a point of describing Agility’s warehouse robot Digit as human-centric, not humanoid, a distinction meant to emphasize what it does over what it’s trying to be.

    What it does, for now, is pick up tote bins and move them. Amazon announced in October it will begin testing Digits for use in its warehouses, and Agility opened an Oregon factory in September to mass produce them.

    Digit has a head containing cameras, other sensors and animated eyes, and a torso that essentially works as its engine. It has two arms and two legs, but its legs are more bird-like than human, with an inverted knees appearance that resembles so-called digitigrade animals such as birds, cats and dogs that walk on their toes rather than on flat feet.

    Rival robot-makers, like Figure AI, are taking a more purist approach on the idea that only true humanoids can effectively navigate workplaces, homes and a society built for humans. Figure also plans to start with a relatively simple use case, such as in a retail warehouse, but aims for a commercial robot that can be “iterated on like an iPhone” to perform multiple tasks to take up the work of humans as birth rates decline around the world.

    “There’s not enough people doing these jobs, so the market’s massive,” said Figure AI CEO Brett Adcock. “If we can just get humanoids to do work that humans are not wanting to do because there’s a shortfall of humans, we can sell millions of humanoids, billions maybe.”

    At the moment, however, Adcock’s firm doesn’t have a prototype that’s ready for market. Founded just over a year ago and after having raised tens of millions of dollars, it recently revealed a 38-second video of Figure walking through its test facility in Sunnyvale, California.

    Tesla CEO Elon Musk is also trying to build a humanoid, called Optimus, through the electric car-maker’s robotics division, but a hyped-up live demonstration last year of the robot’s awkwardly halting steps didn’t impress experts in the robotics field. Seemingly farther along is Tesla’s Austin, Texas-based neighbor Apptronik, which unveiled its Apollo humanoid in an August video demonstration.

    All the attention — and money — poured into making ungainly humanoid machines might make the whole enterprise seem like a futile hobby for wealthy technologists, but for some pioneers of legged robots it’s all about what you learn along the way.

    “Not only about their design and operation, but also about how people respond to them, and about the critical underlying technologies for mobility, dexterity, perception and intelligence,” said Marc Raibert, the co-founder of Boston Dynamics, best known for its dog-like robots named Spot.

    Raibert said sometimes the path of development is not along a straight line. Boston Dynamics, now a subsidiary of carmaker Hyundai, experimented with building a humanoid that could handle boxes.

    “That led to development of a new robot that was not really a humanoid, but had several characteristics of a humanoid,” he said via an emailed message. “But the changes resulted in a new robot that could handle boxes faster, could work longer hours, and could operate in tight spaces, such as a truck. So humanoid research led to a useful non-humanoid robot.”

    Some startups aiming for human-like machines focused on improving the dexterity of robotic fingers before trying to get their robots to walk.

    Walking is “not the hardest problem to solve in humanoid robotics,” said Geordie Rose, co-founder and CEO of British Columbia, Canada-based startup Sanctuary AI. “The hardest problem is the problem of understanding the world and being able to manipulate it with your hands.”

    Sanctuary’s newest and first bipedal robot, Phoenix, can stock shelves, unload delivery vehicles and operate a checkout, early steps toward what Rose sees as a much longer-term goal of getting robots to perceive the physical world to be able to reason about it in a way that resembles intelligence. Like other humanoids, it’s meant to look endearing, because how it interacts with real people is a big part of its function.

    “We want to be able to provide labor to the world, not just for one thing, but for everybody who needs it,” Rose said. “The systems have to be able to think like people. So we could call that artificial general intelligence if you’d like. But what I mean more specifically is the systems have to be able to understand speech and they need to be able to convert the understanding of speech into action, which will satisfy job roles across the entire economy.”

    Agility’s Digit robot caught Amazon’s attention because it can walk and also move around in a way that could complement the e-commerce giant’s existing fleet of vehicle-like robots that move large carts around its vast warehouses.

    “The mobility aspect is more interesting than the actual form,” said Tye Brady, Amazon’s chief technologist for robotics, after the company showed it off at a media event in Seattle.

    Right now, Digit is being tested to help with the repetitive task of picking up and moving empty totes. But just having it there is bound to resurrect some fears about robots taking people’s jobs, a narrative Amazon is trying to prevent from taking hold.

    Agility Robotics co-founder and CEO Damion Shelton said the warehouse robot is “just the first use case” of a new generation of robots he hopes will be embraced rather than feared as they prepare to enter businesses and homes.

    “So in 10, 20 years, you’re going to see these robots everywhere,” Shelton said. “Forever more, human- centric robots like that are going to be part of human life. So that’s pretty exciting.”

    —-

    AP writer Haleluya Hadero contributed to this report.

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  • RobotLAB Inks Landmark Robotics Partnership with American Samoa Department of Education

    RobotLAB Inks Landmark Robotics Partnership with American Samoa Department of Education

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    DALLAS, TX – RobotLAB, an award-winning robotics integrator that delivers impactful technological innovations and solutions for educators and business owners across the globe, has inked a momentous partnership with the American Samoa Department of Education. RobotLAB will provide more than 150 technology carts to the nation’s public schools, each including humanoid robots, virtual reality headsets, laptops, tablets and lesson plans that will expose students to age-appropriate technology and encourage a mastery of computer science, artificial intelligence, automation, STEM and robotics.

    “We’re honored to bring enhanced STEM education and robotics to American Samoa, as we’ve seen the positive impact these technologies have had on students over the last 15-plus years,” said RobotLAB Founder and CEO, Elad Inbar. “After working with the American Samoa Department of Education to identify the best programs and packages for their needs, we’re excited to introduce students in American Samoa to best-in-class education technologies that will challenge and encourage them to master the interconnected world of robotics and automation through hands-on learning.”

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  • Underwater robot finds new circulation pattern in Antarctic ice shelf

    Underwater robot finds new circulation pattern in Antarctic ice shelf

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    Newswise — ITHACA, N.Y. – More than merely cracks in the ice, crevasses play an important role in circulating seawater beneath Antarctic ice shelves, potentially influencing their stability, finds Cornell University-led research based on a first-of-its-kind exploration by an underwater robot.

    The remotely operated Icefin robot’s climb up and down a crevasse in the base of the Ross Ice Shelf produced the first 3D measurements of ocean conditions near where it meets the coastline, a critical juncture known as the grounding zone.

    The robotic survey revealed a new circulation pattern – a jet funneling water sideways through the crevasse – in addition to rising and sinking currents, and diverse ice formations shaped by shifting flows and temperatures. Those details will improve modeling of ice shelf melting and freezing rates at grounding zones, where few direct observations exist, and of their potential contribution to global sea-level rise.

    “Crevasses move water along the coastline of an ice shelf to an extent previously unknown, and in a way models did not predict,” said Peter Washam, a polar oceanographer and research scientist at Cornell University. “The ocean takes advantage of these features, and you can ventilate the ice shelf cavity through them.”

    Washam is the lead author of “Direct Observations of Melting, Freezing and Ocean Circulation in an Ice Shelf Basal Crevasse,” published in Science Advances.

    The scientists in late 2019 deployed the Icefin vehicle – roughly 12 feet long and less than 10 inches around – on a tether down a 1,900-foot borehole drilled with hot water, near where Antarctica’s largest ice shelf meets the Kamb Ice Stream. Such so-called grounding zones are key to controlling the balance of ice sheets, and the places where changing ocean conditions can have the most impact.

    On the team’s last of three dives, Matthew Meister, a senior research engineer, drove Icefin into one of five crevasses found near the borehole. Equipped with thrusters, cameras, sonar and sensors for measuring water temperature, pressure and salinity, the vehicle climbed nearly 150 feet up one slope and descended the other.

    The survey detailed changing ice patterns as the crevasse narrowed, with scalloped indentations giving way to vertical runnels, then green-tinted marine ice and stalactites. Melting at the crevasse base and salt rejection from freezing near the top moved water up and down around the horizontal jet, driving uneven melting and freezing on the two sides, with more melting along the lower downstream wall.

    “Each feature reveals a different type of circulation or relationship of the ocean temperature to freezing,” Washam said. “Seeing so many different features within a crevasse, so many changes in the circulation, was surprising.”

    The researchers said the findings highlight crevasses’ potential to transport changing ocean conditions – warmer or colder – through an ice shelf’s most vulnerable region.

    “If water heats up or cools off, it can move around in the back of the ice shelf quite vigorously, and crevasses are one of the means by which that happens,” Washam said. “When it comes to projecting sea-level rise, that’s important to have in the models.”

    The research was funded by Project RISE UP (Ross Ice Shelf and Europa Underwater Probe), part of NASA’s Planetary Science and Technology from Analog Research program, with logistical support provided by the National Science Foundation through the U.S. Antarctic Program. It was facilitated by the New Zealand Antarctic Research Institute, Aotearoa New Zealand Antarctic Science Platform and the Victoria University of Wellington Hot Water Drilling initiative.

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    Cornell University

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  • An overview of energy provision for biomachine hybrid robots.

    An overview of energy provision for biomachine hybrid robots.

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    Newswise — Bio-machine hybrid robots (BHRs) represent a new generation of micro-aerial vehicles that be controlled by building an interface between biological and artificial systems. In contrast to conventional bionic robots, they are free of complex mechanical structures, and due to the direct adoption of the animal body, they have superior moving characteristics and lower energy demand. Thus, the BHRs can be applied in many important scenarios, such as urban and wilderness rescue operations, environmental monitoring and hazardous area surveys.

    To accomplish long mission endurance, the energy supply of the control backpack must be considered. As different biological carriers have different requirements for the energy equipment, BHRs’ power supply is an important issue. A review paper by scientists at the Beijing Institute of Technology summarized advancements in supply devices in BHRs research.

    The new review paper, published on Sep. 26 in the journal Cyborg and Bionic Systems, provided a comprehensive overview of the various energy supply methods in BHRs research, from the selection of chemical batteries for different bio-carriers to the development and application of various energy harvesters.

    “You may couldn’t imagine that one day when you are trapped in the wild, the first one to notice your distress message and rescue you is an animal. But this will be a reality in the future.” explained study author Jieliang Zhao, a professor at the Beijing Institute of Technology.

    For a long time, bionic scientists have expected to be able to mimic the Creator’s ingenious biological designs and constructions. Although scientists have designed and built robots to mimic the movement of animals in nature in every way possible, no bionic robot has yet matched the efficiency and maneuverability of the animal body itself.

    Bio-machine hybrid robots (BHRs) have become another new method. BHRs use animals as carriers and modulate carrier movement by constructing bio-mechanical interfaces to accomplish scenario-specific tasks. The energy supply unit used to power the control backpack and electronic component carried by BHRs determines their future development and practical application, according to Zhao.

    The newly published review analyzed the various energy supply methods in BHRs research. The study authors grouped the energy supply devices into five categories: chemical batteries; solar cells; biofuel cells; bio-thermal harvesters and bio-vibration harvesters. They analyzed the focus of different carrier animals in the selection of chemical batteries separately. For example, when selecting the battery for flying insects, in addition to meeting the basic electrical requirements, it is also necessary to consider the weight and size of the entire battery, to ensure the carrier insect can fly properly.

    Although the size of the batteries becomes smaller and smaller, they can’t provide sustainable energy for BHRs and the frequent charging will affect animal life. Thus, some researchers started to develop solar cells, biofuel cells, bio-thermal harvesters and bio-vibration energy harvesters to supply energy to BHRs. In the review, they contain a summary overview of current research on self-powered devices for BHRs. “Energy harvesters can effectively harvest different forms of energy from the surrounding environment or the animal itself, which could achieve self-powering of the BHRs,” said Zhao.

    Looking forward, the team considers that five important challenges need to be overcome. The first one is developing high energy density energy supply devices. They think with the creation of new materials and advances in micro-nano technology, the main directions for enhancing energy density are provided in terms of composite materials and micro-scale structural design.

    The second one is developing biocompatibility of energy supply devices to avoid serious immune reactions that could affect the animal’s lifetime. The third one is compound energy supply. By reasonably harvesting multiple environmental energy sources and applying multiple energy conversion mechanisms, the space utilization efficiency of energy supply devices be improved effectively and the power output can be also increased.

    The fourth one is the stability of the energy supply because the long-term stability of the energy supply system is a basic requirement for the effective control of BHRs. The last one is an environmentally friendly energy supply. As BHRs are used in the natural environment, addressing the impact of energy supply systems on the environment is a vital challenge.

    “The research field of energy supply for BHRs is still in its infancy,” said Zhao. Most studies have been done only in the laboratory and the output of harvesters is lower than actual demand. As new conceptual robots, BHRs have important application prospects in future scenarios, such as animal monitoring and wildlife rescue. The energy supply system directly determines the practical application of BHRs. This review calls for more researchers to be able to focus on this field and work together to overcome the challenges in energy supply and promote the practical application of BHRs。

    Authors of the paper include Zhiyun Ma, Jieliang Zhao, Li Yu, Mengdan Yan, Lulu Liang, Xiangbing Wu, Mengdi Xu, Wenzhong Wang, Shaoze Yan.

    This work was supported by the National Key R&D Program of China (2021YFB3400200), the Beijing Natural Science Foundation (3212012), the National Natural Science Foundation of China (52075038), the Opening Project of the Key Laboratory of Bionic Engineering (Ministry of Education), Jilin University (KF20200001), and the Opening Project of State Key Laboratory of Tribology, Tsinghua University (SKLTKF20B06).

    The paper, ” A Review of Energy Supply for Biomachine Hybrid Robots ” was published in the journal Cyborg and Bionic Systems on 26 September 2023 at DOI: https://doi.org/10.34133/cbsystems.0053

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    Beijing Institute of Technology

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  • Researchers aim to streamline brain surgery with a new soft robotic system

    Researchers aim to streamline brain surgery with a new soft robotic system

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    Newswise — Navigating the labyrinthine vasculature of the brain with standard surgical instruments can be incredibly challenging, even for the steadiest of hands. But with some robotic assistance, brain surgeons could potentially operate with far greater ease.

    Researchers at Johns Hopkins University and the University of Maryland have laid the groundwork for a soft robotic tool and control system that could grant surgeons an unprecedented degree of maneuverability within the brain. A recent study published in the International Journal of Computer Assisted Radiology and Surgery demonstrates that the new system is both intuitive and highly accurate. The early results suggest that, with further development, the robot could one day speed up and improve the efficacy of minimally invasive surgeries for life-threatening brain aneurysms and other serious conditions.

    One of the common approaches for treating a brain aneurysm — a weakened blood vessel that bulges and fills with blood — involves threading a plastic tube called a catheter through an artery, typically in the groin, with the goal of reaching and sealing off the aneurysm without causing any perforations along the way.

    To address the twists and turns of the vasculature, physicians can bend the tips of the catheters in a desired direction before inserting them. Then using their hands, they rotate the catheter as needed while pushing it toward the aneurysm. But this approach comes with a significant drawback.

    “With normal catheters, you can’t bend the tip in a different direction on demand once it’s inserted which causes trouble if an aneurysm is hard to reach,” said study co-author Ryan Sochol, Ph.D., a professor of mechanical engineering at the University of Maryland. “This particular problem appears to be quite consistent among neurosurgeons and others that perform endovascular interventions.”

    After hearing from neurosurgeons and studying surgical procedures, the authors of the new study concluded that a steerable robotic tool could greatly improve the process.

    The researchers designed an air pressure operated — or pneumatic — catheter tip which they 3D printed using a soft and flexible resin. The design includes two hollow channels running in parallel along the length of the tip, which, if pressurized individually, causes the tip to deflect to either the left or the right.

    While the catheter tip itself was inspired by existing designs, the authors sought to address a need that those previous robotic systems had not yet tackled — a control system that would fit well into the current clinical workflow.

    To provide physicians with a similar but improved method, the team developed a hand dial that allows for precise adjustments of the tip’s position, providing more control than rotating a pre-bent tip. Additionally, the dial offers haptic feedback that indicates when the tip is bent. With this system, the researchers grant the ability to simultaneously move a catheter forward with one hand while adjusting the angle of the tip with the other.

    To assess the device’s performance, the authors had two users — a skilled neurosurgeon and another with no prior surgical training — adjust the robotic tip’s position to hit an array of five 2-millimeter-wide cylindrical targets spaced less than 2 millimeters apart.

    Through 80 trials each, the users drove the catheters toward the cylinders with one hand and operated the dial with their other, bending the tips even closer to each target.

    The authors tracked how far off the tips were from the targets and the time it took the users to accomplish the tasks. The surgeon was clearly faster and more accurate, however, after several trials, the novice began closing the gap, almost matching their counterpart’s accuracy.

    “Both users were able to use the robotic system for sub-millimeter precision control, which is smaller than the two-millimeter diameter of brain vessels and the openings of aneurysms in the brain,” said senior author Axel Kreiger, Ph.D., a professor of mechanical engineering at Johns Hopkins University. “Overall, it was really nice to see that the results support the feasibility of the system.”

    With the study putting more wind in their sails, the authors are eager to continue developing the robotic tool with plans to shrink it to a more clinically relevant size and test it against targets in more anatomically accurate environments, Krieger explained.

    In the future, the authors also intend to increase their design’s functionality by adding tips in series, which could allow the device to bend into more complicated shapes and navigate difficult vascular environments.

    “The soft microcatheter tip is highly innovative and could be key for widespread use of robotics in endovascular surgery,” said Moria Bittmann, Ph.D., director of the NIBIB Robotics Program.

    This research was funded by a grant from NIBIB (R01EB033354), the Maryland Robotics Center and the Center for Engineering Concepts Development at the University of Maryland.

    This Science Highlight describes a basic research finding. Basic research increases our understanding of human behavior and biology, which is foundational to advancing new and better ways to prevent, diagnose, and treat disease. Science is an unpredictable and incremental process — each research advance builds on past discoveries, often in unexpected ways. Most clinical advances would not be possible without the knowledge of fundamental basic research.

    Study reference: Noah Barnes et al. Toward a novel soft robotic system for minimally invasive interventions. International Journal of Computer Assisted Radiology and Surgery (2023). DOI: 10.1007/s11548-023-02997-w

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    National Institute of Biomedical Imaging and Bioengineering

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  • A 130g soft robot gripper lifts 100kg?

    A 130g soft robot gripper lifts 100kg?

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    Newswise — Utilizing soft, flexible materials such as cloth, paper, and silicone, soft robotic grippers is an essential device that acts like a robot’s hand to perform functions such as safely grasping and releasing objects. Unlike conventional rigid material grippers, they are more flexible and safe, and are being researched for household robots that handle fragile objects such as eggs, or for logistics robots that need to carry various types of objects. However, its low load capacity makes it difficult to lift heavy objects, and its poor grasping stability makes it easy to lose the object even under mild external impact.

    Dr. Song, Kahye of the Intelligent Robotics Research Center at the Korea Advanced Institute of Science and Technology (KIST), along with Professor Lee, Dae-Young of the Department of Aerospace Engineering at the Korea Advanced Institute of Science and Technology (KAIST), have jointly developed a soft gripper with a woven structure that can grip objects weighing more than 100 kg with 130 grams of material.

    To increase the loading capacity of the soft robot gripper, the research team applied a new structure inspired by textiles, as opposed to the conventional method of developing new materials or reinforcing the structure. The weaving technique they focused on involves tightly intertwining individual threads to create a strong fabric, which can reliably support heavy objects and has been used for centuries in clothing, bags, and industrial textiles. The team used thin PET plastic The grippers were designed to allow the strips to intertwine and unwind into a woven structure.

    The resulting woven gripper weighs 130 grams and can grip an object weighing 100 kilograms. Conventional grippers of the same weight can lift no more than 20 kilograms at most, and considering that a gripper that can lift the same weight weighs 100 kilograms, the team succeeded in increasing the load capacity relative to its own weight.

    Also, the soft robot gripper developed by the research team uses plastic, which costs only a few thousand won per unit of material, and can be used as a universal gripper that can grip objects of various shapes and weights, making it highly competitive in price. In addition, since the soft robot gripper can be manufactured by simply fastening a plastic strip, the manufacturing process can be completed in less than 10 minutes, and it is easy to replace and maintain, so the process efficiency is excellent.

    In addition to PET, which is the main material used by the research team, the gripper can also be made of various materials such as rubber and compounds that possess elasticity, allowing the team to customize and utilize grippers suitable for industrial and logistics sites that require strong gripping performance or various environments that need to withstand extreme conditions.

    “The woven structure gripper developed by KIST and KAIST has the strengths of a soft robot but can grasp heavy objects at the level of a rigid gripper,” said Dr. Song. It can be manufactured in a variety of sizes, from coins to cars, and can grip objects of various shapes and weights, from thin cards to flowers, so it is expected to be used in fields such as industry, logistics, and housework that require soft grippers.”

    ###

    KIST was established in 1966 as the first government-funded research institute in Korea. KIST now strives to solve national and social challenges and secure growth engines through leading and innovative research. For more information, please visit KIST’s website at https://eng.kist.re.kr/

    KAIST is the first and top science and technology university in Korea. KAIST has been the gateway to advanced science and technology, innovation, and entrepreneurship, and our graduates have been key players behind Korea’ innovations. KAIST will continue to pursue advances in science and technology as well as the economic development of Korea and beyond. (https://www.kaist.ac.kr/en)

    The research was supported by the Ministry of Science and ICT (Minister Lee Jong-ho) through the KIST Major Project and the Korea Research Foundation Basic Research Program, the Overseas Advanced Scientist Invitation Program, and the Basic Research Laboratory Support Program. The results of the study were published on August 2 in the international journal Nature Communications (IF:16.6, top 8.2% in JCR) and were selected as Editors’ Highlights, which introduces the best 50 papers in each field.

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    National Research Council of Science and Technology

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  • New robot could help diagnose breast cancer early

    New robot could help diagnose breast cancer early

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    Newswise — A device has been created that could carry out Clinical Breast Examinations (CBE).

    The manipulator, designed by a team at the University of Bristol and based at the Bristol Robotics Laboratory, is able to apply very specific forces over a range similar to forces used by human examiners and can detect lumps using sensor technology at larger depths than before.

    This could revolutionise how women monitor their breast health by giving them access to safe electronic CBEs, located in easily accessible places, such as pharmacies and health centres, which provide accurate results.    

    Precision, repeatability and accuracy are of paramount importance in these tactile medical examinations to ensure favourable patient outcomes. A range of automatic and semi-automatic devices have been proposed to aid with optimising this task, particularly for difficult to detect and hard to reach situations such as during minimally invasive surgery.

    The research team included a mix of postgraduate and undergraduate researchers, supervised by Dr Antonia Tzemanaki from Bristol Robotics Laboratory. Lead author George Jenkinson explained: “There are conflicting ideas about how useful carrying out Clinical Breast Examinations (CBE) are for the health outcomes of the population.

    “It’s generally agreed upon that if it is well performed, then it can be a very useful and low risk diagnostic technique.

    “There have been a few attempts in the past to use technology to improve the standard to which healthcare professionals can perform a CBE by having a robot or electronic device physically palpate breast tissue. But the last decade or so of technological advances in manipulation and sensor technology mean that we are now in a better position to do this.

    “The first question that we want to answer as part of this is whether a specialised manipulator can be demonstrated to have the dexterity necessary to palpate a realistic breast size and shape.”

    The team created their manipulator using 3D printing and other Computerised Numerical Control techniques and employed a combination of laboratory experiments and simulated experiments on a fake (silicone) breast and its digital twin, both modelled on a volunteer at the Simulation and Modelling in Medicine and Surgery research group at Imperial College London.

    The simulations allowed the team to perform thousands of palpations and test lots of hypothetical scenarios such as calculating the difference in efficiency when using two, three, or four sensors at the same time. In the lab, they were able to carry out the experiments on the silicone breast to demonstrate the simulations were accurate and to experimentally discover the forces for the real equipment.

    George added: “We hope that the research can contribute to and complement the arsenal of techniques used to diagnose breast cancer, and to generate a large amount of data associated with it that may be useful in trying to identify large scale trends that could help diagnose breast cancer early.

    “One advantage that some doctors have mentioned anecdotally is that this could provide a low-risk way to objectively record health data. This could be used, for example, to compare successive examinations more easily, or as part of the information packet sent to a specialist if a patient is referred for further examination.”

    As a next step, the team will combine CBE techniques learned from professionals with AI, and fully equip the manipulator with sensors to determine the effectiveness of the whole system at identifying potential cancer risks.

    The ultimate goal is that the device and sensors will have the capability to detect lumps more accurately and deeper than it is possible only from applying human touch. It could also be combined with other existing techniques, such as ultrasound examination.

    “So far we have laid all of the groundwork,” said George. “We have shown that our robotic system has the dexterity necessary to carry out a clinical breast examination – we hope that in the future this could be a real help in diagnosing cancers early.”

    This research was a part of project ARTEMIS, funded by Cancer Research UK and supported by EPSRC.

     

    Papers:

    ‘A robotIc Radial palpatIon mechaniSm for breast examination (IRIS)’ by George Jenkinson et al which was presented at the RO-MAN conference.

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    University of Bristol

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  • NIH awards researchers $1.2M to develop robotic eye examination system

    NIH awards researchers $1.2M to develop robotic eye examination system

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    Newswise — A collaboration between researchers at the University of Illinois Urbana-Champaign and Duke University has developed a robotic eye examination system, and the National Institutes of Health has awarded the researchers $1.2 million to expand and refine the system.

    The researchers have developed a robotic system that automatically positions examination sensors to scan human eyes. It currently uses an optical scan technique which can operate from a reasonably safe distance from the eye, and now the researchers are working to add more features that will help it perform most steps of a standard eye exam. These features will require the system to operate in closer proximity to the eye.

    “Instead of having to spend time in a doctor’s office going through the manual steps of routine examinations, a robotic system can do this automatically,” said Kris Hauser, a U. of I. computer science professor and the study’s principal investigator. “This would mean faster and more widespread screening leading to better health outcomes for more people. But to achieve this, we need to develop safer and more reliable controls, and this award allows us to do just that.”

    Automated medical examinations could both make routine medical services accessible to more people and allow health care workers to treat more patients. However, medical examinations present unique safety concerns compared to other automated processes. The robots must be trusted to operate reliably and safely in proximity to sensitive body parts.

    A prior system developed by Hauser and his collaborators was a robotic eye examination system that deploys a technique called optical coherence tomography which scans the eye to create a three-dimensional map of the eye’s interior. This capability allows many conditions to be diagnosed, but the researchers want to expand the system’s capabilities by including a slit eye examiner and an aberrometer. These additional features require the robot arm to be held within two centimeters of the eye, highlighting the need for enhanced robotic safety.

    “Getting the robot within two centimeters of the patient’s eye while ensuring safety is a bit of a new concern,” Hauser said. “If a patient’s moving towards the robot, it has to move away. If the patient is swaying, the arm has to match their movement.”

    Hauser likened the control system to those used in autonomous vehicles. While the system can’t react to all possible human behaviors, he said, it must prevent “at-fault collisions” like self-driving cars must do.

    The award will enable the researchers to conduct large-scale reliability testing. An important component of these tests is ensuring that the system works for as many people as possible. To achieve this, the researchers have developed a second robot that will use mannequin heads to emulate unexpected human behaviors. Moreover, the second robot will automatically randomize the heads’ appearance with different skin tones, facial features, hair and coverings to help the researchers understand and mitigate the effects of algorithmic bias in their system.

    The system will be designed for use in clinical settings, but Hauser imagines that one day such systems could be used in retail settings much like blood pressure stations.

    “Something like this could be used in an eyeglass store to scan your eyes for the prescription, or it could give a diagnostic scan in a pharmacy and forward the information to your doctor,” he said. “This is really where an automated examination system like this would be most effective: giving as many people access to basic health care services as possible.”

    ***

    Duke University professors Jospeh Izatt of biomedical engineering and Anthony Kuo of ophthalmology are co-principal investigators.

    The award, cosponsored by the National Robotics Initiative, will be distributed over three years.

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    University Of Illinois Grainger College Of Engineering

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  • New dual-arm robot achieves bimanual tasks by learning from simulation

    New dual-arm robot achieves bimanual tasks by learning from simulation

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    BYLINE: Laura Thomas

    Newswise — An innovative bimanual robot displays tactile sensitivity close to human-level dexterity using AI to inform its actions.

    The new Bi-Touch system, designed by scientists at the University of Bristol and based at the Bristol Robotics Laboratory, allows robots to carry out manual tasks by sensing what to do from a digital helper.

    The findings, published in IEEE Robotics and Automation Letters, show how an AI agent interprets its environment through tactile and proprioceptive feedback, and then control the robots’ behaviours, enabling precise sensing, gentle interaction, and effective object manipulation to accomplish robotic tasks.

    This development could revolutionise industries such as fruit picking, domestic service, and eventually recreate touch in artificial limbs.

    Lead author Yijiong Lin from the Faculty of Engineering, explained: “With our Bi-Touch system, we can easily train AI agents in a virtual world within a couple of hours to achieve bimanual tasks that are tailored towards the touch. And more importantly, we can directly apply these agents from the virtual world to the real world without further training.

    “The tactile bimanual agent can solve tasks even under unexpected perturbations and manipulate delicate objects in a gentle way.”

    Bimanual manipulation with tactile feedback will be key to human-level robot dexterity. However, this topic is less explored than single-arm settings, partly due to the availability of suitable hardware along with the complexity of designing effective controllers for tasks with relatively large state-action spaces. The team were able to develop a tactile dual-arm robotic system using recent advances in AI and robotic tactile sensing.

    The researchers built up a virtual world (simulation) that contained two robot arms equipped with tactile sensors. They then design reward functions and a goal-update mechanism that could encourage the robot agents to learn to achieve the bimanual tasks and developed a real-world tactile dual-arm robot system to which they could directly apply the agent.

    The robot learns bimanual skills through Deep Reinforcement Learning (Deep-RL), one of the most advanced techniques in the field of robot learning. It is designed to teach robots to do things by letting them learn from trial and error akin to training a dog with rewards and punishments.

    For robotic manipulation, the robot learns to make decisions by attempting various behaviours to achieve designated tasks, for example, lifting up objects without dropping or breaking them. When it succeeds, it gets a reward, and when it fails, it learns what not to do. With time, it figures out the best ways to grab things using these rewards and punishments. The AI agent is visually blind relying only on proprioceptive feedback  – a body’s ability to sense movement, action and location and tactile feedback.

    They were able to successfully enable to the dual arm robot to successfully safely lift items as fragile as a single Pringle crisp.

    Co-author Professor Nathan Lepora added: “Our Bi-Touch system showcases a promising approach with affordable software and hardware for learning bimanual behaviours with touch in simulation, which can be directly applied to the real world. Our developed tactile dual-arm robot simulation allows further research on more different tasks as the code will be open-source, which is ideal for developing other downstream tasks.”

    Yijiong concluded: “Our Bi-Touch system allows a tactile dual-arm robot to learn sorely from simulation, and to achieve various manipulation tasks in a gentle way in the real world.

    “And now we can easily train AI agents in a virtual world within a couple of hours to achieve bimanual tasks that are tailored towards the touch.”

     

    Paper:

    ‘Bi-Touch: Bimanual Tactile Manipulation With Sim-to-Real Deep Reinforcement Learning’ by Yijiong Lin, Nathan Lepora et al in IEEE Robotics and Automation Letters.

     

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    University of Bristol

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  • AP PHOTOS: Lifelike robots and android dogs wow visitors at Beijing robotics fair

    AP PHOTOS: Lifelike robots and android dogs wow visitors at Beijing robotics fair

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    Workers sit near images of robotic arms from Estun a Chinese manufacturer of industrial robots at the annual World Robot Conference at the Beijing Etrong International Exhibition and Convention Center, Wednesday, Aug. 16, 2023. (AP Photo/Ng Han Guan)

    The Associated Press

    BEIJING — Winking, grimacing or nodding their heads, robots mimicked the expressions of visitors at a robot expo in Beijing.

    They were among the creations dazzling people attending the annual World Robot Conference, where companies showed off robots designed for a wide range of uses, including manufacturing, surgery and companionship.

    The animatronic heads and humanoid robots on display at the EX Robots booth this week personified the image of what robots are supposed to be in the popular imagination, with synthetic skin and lifelike facial expressions complimented by moving arms and hands.

    CEO Li Boyang said they’re ideal for roles that require interacting with the public, such as in museums, tourist attractions, school settings and “companion scenarios.”

    Doggie droids — a mainstay of high tech fairs — were out in force. Canine robots shook hands with fairgoers and performed handstands on their front paws.

    Elsewhere at the fair, robotic arms served Chinese tea, prepared ice cream cones, bounced ping pong balls and gave visitors back massages.

    Harvesting robots demonstrated how they could pick apples off the branch, while an artist robot drew portraits of visitors.

    Industrial robot arms for factory production lines also grabbed focus. One of Chinese leader Xi Jinping’s goals is to move the country’s vast manufacturing sector away from low-cost creation of cheap goods into more high-tech production, and industrial robots will be an important element of that plan.

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  • Advanced Virtual Reality Technology Enables Brain Activity Measurement

    Advanced Virtual Reality Technology Enables Brain Activity Measurement

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    Newswise — Researchers have modified a commercial virtual reality headset, giving it the ability to measure brain activity and examine how we react to hints, stressors and other outside forces.

    The research team at The University of Texas at Austin created a noninvasive electroencephalogram (EEG) sensor that they installed in a Meta VR headset that can be worn comfortably for long periods. The EEG measures the brain’s electrical activity during the immersive VR interactions.

    The device could be used in many ways, from helping people with anxiety, to measuring the attention or mental stress of aviators using a flight simulator, to giving a human the chance to see through the eyes of a robot.

    “Virtual reality is so much more immersive than just doing something on a big screen,” said Nanshu Lu, a professor in the Cockrell School of Engineering’s Department of Aerospace Engineering and Engineering Mechanics who led the research. “It gives the user a more realistic experience, and our technology enables us to get better measurements of how the brain is reacting to that environment.”

    The research is published in Soft Science.

    The pairing of VR and EEG sensors has made its way into the commercial sphere already. However, the devices that exist today are costly, and the researchers say their electrodes are more comfortable for the user, extending the potential wearing time and opening up additional applications.

    The best EEG devices today consist of a cap covered in electrodes, but that does not work well with the VR headset. And individual electrodes struggle to get a strong reading because our hair blocks them from connecting with the scalp. The most popular electrodes are rigid and comb-shaped, inserting through the hairs to connect with the skin, an uncomfortable experience for the user.

    “All of these mainstream options have significant flaws that we tried to overcome with our system,” said Hongbian Li, a research associate in Lu’s lab.

    For this project, the researchers created a spongy electrode made of soft, conductive materials that overcome those issues, an effort led by Li. The modified headset features electrodes across the top strap and forehead pad, a flexible circuit with conductive traces similar to Lu’s electronic tattoos, and an EEG recording device attached to the back of the headset.

    This technology will play into another major research project at UT Austin: A new robot delivery network that will also serve as the largest study to date on human-robot interactions.

    Lu is a part of that project, and the VR headsets will be used by people either traveling with robots or in a remote “observatory.” They will be able to watch along from the robot’s perspective, and the device will also measure the mental load of this observation for long periods.

    “If you can see through the eyes of the robot, it paints a clearer picture of how people are reacting to it and lets operators monitor their safety in case of potential accidents,” said Luis Sentis, a professor in the Department of Aerospace Engineering and Engineering Mechanics who is co-leading the robot delivery project and is a co-author on the VR EEG paper.

    To test the viability of the VR EEG headset, the researchers created a game. They worked with José del R. Millán, a faculty member in the Chandra Family Department of Electrical and Computer Engineering and the Dell Medical School and an expert in brain-machine interfaces, to develop a driving simulation that has the user press a button to react to turn commands.

    The EEG measures the brain activity of the users as they make driving decisions. In this case, it shows how closely the subjects are paying attention.

    The researchers have filed preliminary patent paperwork for the EEG, and they’re open to partner with VR companies to create a built-in version of the technology.

    Other members of the research team include Hyonyoung Shin, Minsu Zhang, Nicholas Riveira and Susmita Gangopadahyay of the Chandra Family Department of Electrical and Computer Engineering; Andrew Yu, Heeyong Huh, Zhengjie Li, and Yifan Rao from the Department of Aerospace Engineering and Engineering Mechanics; Sangjun Kim from the Walker Department of Mechanical Engineering, Jessie Peng of the Department of Biomedical Engineering; and Gubeum Kwon of Artue Associates Inc. in South Korea.

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    University of Texas at Austin (UT Austin)

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  • تنبيه من خبير: كيف سيستفيد المرضى من الجراحات اليقظة للعمود الفقري

    تنبيه من خبير: كيف سيستفيد المرضى من الجراحات اليقظة للعمود الفقري

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    جاكسونفيل، فلوريدا — كانت مايو كلينك من أوائل المراكز على مستوى العالم في تنفيذ عمليات دمج الفقرات بالدعم الروبوتي وباستخدام التخدير النصفي، ما يعني أن المريض مستيقظ خلال العملية. يطلق أيضًا على عملية دمج الفقرات اسم دمج الفقرات القطني عبر الثقوب. هذه العملية هي نوع من دمج الفقرات والذي يساعد على تثبيت العمود الفقري بعد المشكلات التآكلية أو المتعلقة بالسرطان أو بعد الإصابة المتسببة في عدم استقرار الفقرات.

    د. سيلبي شين، دكتور في الطبهو جراح أعصاب فيمايو كلينك فلوريدا. يوضح د. شين أن هذه الجراحات اليقظة للعمود الفقري قد تقلل من وقت العملية وتحد من الألم بعد العملية مقارنةً بالعمليات تحت التخدير الكلي.

    ويقول د. شين “إن النهج الروبوتي واليقظ لعملية الدمج الفقري طفيف التوغل هو نهج فريد من نوعه”. يركز د. شين بشكل أساسي على عمليات العمود الفقري طفيفة التوغل بمساعدة الروبوتات. ويؤمن بأهمية وجود عقلية مبتكِرة.

    يستكمل د. شين “مع التطور التكنولوجي، والمساعدة الروبوتية، وتحسن أساليب التخدير، فقد نتمكن من تحسين نتائج المرضى مقارنةً بذي قبل”. “نحتاج لتهيئة كل السبل التي نتبعها من أجل تقديم أفضل رعاية للمرضى. بالطريقة التي نعلم أنها ستنفعهم.”

    إن إجراء الجراحات اليقظة سيقلل المخاطر المرتبطة بالتخدير الكلي كما يتعافي المريض بعدها بصورة أفضل وأسرع.

    هناك فوائد أخرى من وجهة نظر الجراحين.

    يوضح د. شين “يبدأ التخدير النصفي في العمل بصورة أسرع من التخدير الكلي. بالتالي نستطيع التعامل مع الحالة بشكل أسرع”.

    كما يضع المساعد الروبوتي المسامير الجراحية بشكلٍ أدق، ما يحسن من سلامة المريض.

    ###

    نبذة عن مايو كلينك
    مايو كلينك هي مؤسسة غير ربحية تلتزم بالابتكار في الممارسات السريرية والتعليم والبحث وتوفير التعاطف والخبرة لكل مَن يحتاج إلى الاستشفاء والرد على استفساراته. لمعرفة المزيد من أخبار مايو كلينك، تفضَّل بزيارة شبكة مايو كلينك الإخبارية.

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    Mayo Clinic

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