Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Peking University Team Develops Amphibious 'Super Suction Cup' Inspired by Lamprey
A research team at Peking University has developed a groundbreaking hybrid suction cup, drawing inspiration from the lamprey's distinctive mouth structure. This innovative design boasts an adhesion strength that surpasses 850 times its own weight, marking a significant advancement for amphibious robots operating in challenging environments. The team aims to enhance the functionality and versatility of these robots, enabling them to navigate and adhere to a variety of surfaces effectively. This development represents a crucial step forward in robotics, particularly for applications requiring adaptability in diverse terrains.
Amphibious Robotics Bioinspired Adhesives Suction Technology Robotic Grippers
Biomedical jellyfish-inspired robot hits record swim speeds without onboard power
Researchers have developed a groundbreaking jellyfish-inspired soft robot capable of navigating through water at unprecedented speeds. This innovative technology, unveiled in a recent study, showcases the potential for advanced underwater exploration and environmental monitoring. The robot mimics the unique propulsion mechanism of jellyfish, allowing it to move efficiently and swiftly. The development took place in a laboratory setting, where scientists aimed to enhance robotic mobility in aquatic environments. By studying the biomechanics of jellyfish, the team was able to replicate their movement patterns, resulting in a soft robot that not only moves faster than existing models but also carries out tasks such as data collection and monitoring marine ecosystems. This advancement comes at a crucial time as researchers seek sustainable solutions for underwater exploration, driven by the need to better understand and protect marine life. The soft robot's design allows for flexibility and adaptability, making it suitable for various applications, from scientific research to environmental conservation efforts. As the technology progresses, the team envisions further enhancements that could lead to even greater speeds and capabilities, paving the way for a new era of robotic exploration in our oceans.
MIT and EPFL Develop Flapping Robot for Seamless Water-Air Transition with Advanced Wing Design
Researchers from MIT and EPFL have created a flapping robot capable of transitioning between water and air without legs. Weighing approximately 250 grams, the robot features a streamlined body, two flexible wings, and a controllable tail. It can flap its wings at frequencies of up to 6 Hz underwater and 5.2 to 11 Hz in the air, mimicking the behavior of diving birds, as detailed in a recent Science publication. This innovation is significant as it addresses the complex physical challenges of transitioning from water to air, a feat that most diving birds achieve with the aid of their legs. The robot's flexible wings reduce drag and allow for a higher flapping frequency underwater compared to rigid wings. This design not only enhances its swimming efficiency but also aligns with biological observations of diving birds, providing insights into their locomotion strategies. Looking ahead, the research team is exploring optimal wing configurations and has tested various sizes and stiffnesses. Future experiments will focus on the robot's ability to transition from water to air solely through wing flapping, a critical milestone that could reveal more about the mechanics of avian flight and inspire advancements in robotic design. No further timeline was disclosed at the time of publication.
Flapping Robots Aerial Robotics Aquatic Robotics Bio-inspired Engineering
7 animal-inspired robots solving real-world engineering challenges
Engineers are increasingly looking to nature for inspiration in developing innovative solutions for movement, efficiency, and survival. This trend reflects a growing recognition of the intricate designs and systems that have evolved over millions of years. By studying various organisms and their adaptations, researchers aim to apply these natural principles to create advanced technologies in fields such as robotics, transportation, and energy efficiency. This biomimicry approach not only enhances performance but also promotes sustainability by utilizing nature's time-tested strategies. As this movement gains momentum, it is expected to lead to groundbreaking advancements that could significantly impact various industries and improve human life.
10x tougher bio-inspired ceramics survive 1,112°F temps for aerospace and beyond
French engineers have made a significant advancement in materials science by developing a ceramic composite that boasts a toughness approximately ten times greater than that of standard ceramics. This breakthrough, achieved through innovative engineering techniques, was unveiled in October 2023. The new composite is expected to have a wide range of applications, particularly in industries requiring durable materials, such as aerospace and automotive manufacturing. The motivation behind this development stems from the need for stronger, more resilient materials that can withstand extreme conditions and stresses. The engineers utilized advanced processing methods to enhance the structural integrity of the ceramic, leading to its remarkable toughness. This innovation not only promises to improve product performance but also aims to reduce the frequency of material failures in critical applications.
Beihang University Unveils New Bioinspired Soft Robot for Medical Applications
A collaborative research team from Beihang University in China and Koç University in Turkey has created a groundbreaking millimeter-scale soft robot that mimics the movement of snails. This innovative robot employs a unique fluid transport mechanism, enabling it to traverse slippery and intricate surfaces with ease. The development holds significant promise for advancing the design of future medical micro-robots, potentially enhancing their functionality in various applications. The team's findings were recently published in the esteemed journal 'Science Advances', highlighting the potential impact of this technology in the field of robotics and medicine.
Soft Robotics Medical Robotics Bioinspired Technology Fluid Transport Systems
Robots could learn to predict, plan navigation with new ‘bio-inspired’ framework
A recent study highlights the advanced capabilities of robot vacuums in home cleaning. Researchers observed that when placed in a living room, these devices effectively create detailed maps of their surroundings, allowing them to navigate and clean efficiently. This development comes as more households adopt smart home technology, seeking convenience and improved cleaning solutions. The study, conducted in various residential settings, demonstrates how robot vacuums utilize sensors and algorithms to optimize their cleaning paths. As the demand for automated home care increases, manufacturers are focusing on enhancing these technologies to meet consumer expectations for efficiency and thoroughness.
10x tougher bio-inspired ceramics survive 1112°F temps for aerospace and beyond
French engineers have unveiled a groundbreaking ceramic composite that boasts a toughness approximately ten times greater than that of conventional materials. This innovative development, announced recently, aims to enhance various applications in industries such as aerospace, automotive, and defense. The engineers, part of a research team at a leading French technology institute, have focused on creating a material that can withstand extreme conditions while remaining lightweight and durable. The motivation behind this advancement stems from the increasing demand for high-performance materials that can improve efficiency and safety in critical applications. The team utilized advanced manufacturing techniques to achieve this remarkable toughness, paving the way for potential future applications that could revolutionize material science.
RoboFly.D—A Bio‐Inspired Hover‐Capable Flapping Wing Robot
In a recent publication in the Journal of Field Robotics, researchers have unveiled significant advancements in robotic navigation systems, particularly focusing on enhancing the accuracy and efficiency of autonomous vehicles. This study, released in May 2026, highlights innovative algorithms that enable robots to better interpret complex environments, thereby improving their decision-making capabilities. Conducted by a team of experts in robotics and artificial intelligence, the research aims to address the growing need for reliable navigation solutions in various applications, from urban transportation to agricultural automation. The findings suggest that by integrating advanced sensor technologies and machine learning techniques, robots can now navigate challenging terrains with unprecedented precision. The study was carried out in diverse settings, including urban landscapes and rural fields, to test the algorithms under real-world conditions. The motivation behind this research stems from the increasing reliance on autonomous systems in everyday life, necessitating improvements in their operational reliability and safety. Through extensive field trials and simulations, the researchers demonstrated that the new navigation systems significantly reduce the likelihood of errors, thereby enhancing the overall performance of autonomous vehicles. This work not only contributes to the field of robotics but also paves the way for future innovations in automated systems, ultimately aiming to facilitate safer and more efficient transportation solutions.
RESEARCH ARTICLE
Bio‐Inspired Pneumatic Modular Soft Robots
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions conducted experiments to evaluate the efficiency and effectiveness of these robots in crop monitoring and management. The study, released in early October 2023, took place in diverse agricultural settings across the United States. The motivation behind this research stems from the growing need for sustainable farming practices and the increasing demand for food production. By integrating advanced robotics into agriculture, the aim is to enhance productivity while minimizing environmental impact. The researchers employed a combination of machine learning algorithms and sensor technologies to enable the robots to navigate fields, identify crop health issues, and optimize resource usage. Through rigorous testing and data analysis, the study demonstrated that these autonomous systems could significantly reduce labor costs and improve crop yields. The findings suggest that as technology continues to evolve, the role of robotics in agriculture will become increasingly vital, paving the way for smarter and more sustainable farming practices.
RESEARCH ARTICLE
Inchworm-inspired robot uses 10 MeV-tolerant muscles to navigate Mars-like terrain
Researchers at the University of Gothenburg have developed an innovative soft robot inspired by the movement of inchworms. This breakthrough was announced on October 15, 2023, during a presentation at an international robotics conference in Gothenburg, Sweden. The team aims to create a versatile robotic system capable of navigating complex environments, which could have significant applications in fields such as search and rescue, environmental monitoring, and medical assistance. The motivation behind this project stems from the need for robots that can maneuver through tight spaces and uneven terrain, where traditional rigid robots often struggle. By mimicking the inchworm's unique locomotion, the researchers designed a soft robot that uses a series of flexible segments to propel itself forward, allowing for greater adaptability and safety in various settings. The development process involved extensive experimentation with materials and designs to achieve the desired flexibility and efficiency. The team utilized advanced engineering techniques to ensure the robot can perform tasks that require delicate handling, making it suitable for operations in sensitive environments. This innovative approach not only showcases the potential of bio-inspired robotics but also opens new avenues for future research in soft robotics, emphasizing the importance of nature as a source of inspiration for technological advancements.
MIT and EPFL Develop Flapping-Wing Robot for Air and Water Navigation
Engineers from MIT and EPFL have created a flapping-wing aerial-aquatic vehicle (FAAV) inspired by puffins. Weighing under 300 grams, the robot features a central fuselage, flexible wings, and a steerable tail. Field tests in Lake Geneva demonstrated its ability to swim and then take flight, showcasing its dual-medium capabilities. This innovation is significant for oceanography and marine biology, as it allows for cost-effective data collection from both air and water. The FAAV can fly at speeds of 6 meters per second and swim at 1 meter per second, providing a versatile tool for researchers. The design mimics the natural mechanics of birds, which maintain similar physical dynamics in both environments by adjusting their speed. Looking ahead, the team aims to refine the robot's ability to breach the water's surface, a challenging transition requiring a precise 70-degree pitch. No further timeline was disclosed at the time of publication, but the potential applications for environmental monitoring and research are substantial.
AI and Robotics
Swarm Robots Inspired by Bees and Ants Could Transform the Future of Mining
Researchers at Adelaide University have unveiled an innovative robotic system modeled after the behaviors of bees and ants, aiming to enhance safety, efficiency, and sustainability in the mining industry. This development comes as part of ongoing efforts to address the challenges faced in mining operations, where traditional methods often pose risks to workers and the environment. By mimicking the collective intelligence and collaborative strategies of these insects, the new robotic system is designed to optimize resource extraction processes while minimizing ecological impact. The research team believes that this approach could revolutionize mining practices, making them more adaptable and less hazardous. The project highlights the potential of biomimicry in engineering solutions that align with environmental sustainability goals.
Octopus-inspired robotic arm uses distributed tactile sensors for adaptive grip
Engineers have successfully created a robotic arm inspired by the sensory capabilities of the octopus. This innovative development aims to enhance robotic dexterity and adaptability in various applications, including medical procedures and complex manufacturing tasks. The project, which has been in the works for several years, showcases the potential of biomimicry in advancing technology. Researchers conducted extensive studies on the octopus's unique nervous system and flexible limbs to replicate its remarkable ability to manipulate objects with precision. The robotic arm is designed to mimic these characteristics, allowing for greater flexibility and sensitivity compared to traditional robotic systems. This breakthrough, unveiled at a technology conference earlier this month, represents a significant step forward in robotics, potentially transforming how machines interact with their environment and perform intricate tasks.
Robotic arm inspired by octopus uses tactile sensors in suction cups for autonomous underwater grasping
A research team led by Barbara Mazzolai at the Istituto Italiano di Tecnologia (IIT) has unveiled an innovative octopus-inspired soft robotic arm. This development, which emerged from the Bioinspired Soft Robotics unit, showcases advanced technology that allows the robotic arm to autonomously grasp objects in challenging environments, including underwater. The arm's artificial suction cups are equipped with sensors that can detect contact and assess the intensity and direction of applied forces. This breakthrough, announced recently, highlights the potential of oceanic biology to inspire future robotics solutions, emphasizing the importance of nature as a model for technological advancements.
Robotics
Bio-hybrid robotics system ‘listens’ to cyborg insects for collaborative control
Japanese researchers have unveiled an innovative method for controlling cyborg insects, aiming to enhance the understanding of their behavior and capabilities. This groundbreaking development was announced during a recent conference held in Tokyo, where scientists discussed advancements in bioengineering and robotics. The motivation behind this research stems from the potential applications in environmental monitoring and disaster response, where these engineered insects could play a crucial role in collecting data from hard-to-reach areas. The researchers have integrated electronic components into the insects, allowing for remote control and manipulation of their movements. This process involves sophisticated techniques that blend biology with technology, enabling the insects to be guided through various environments. The team believes that by mastering this control, they can create a new class of biohybrid systems that could revolutionize how we interact with the natural world. As the project progresses, the researchers are optimistic about the implications of their work, which could lead to significant advancements in both ecological research and practical applications in urban planning and emergency management. The findings from this study are expected to be published in a leading scientific journal, further contributing to the growing field of cyborg biology.
Revolutionizing Underwater Detection! This AI Bionic Skin Allows Robots to 'Touch' the World in Turbulent Waters
Researchers from Zhejiang University and the National University of Singapore have unveiled a groundbreaking AI-enhanced bionic electronic skin, drawing inspiration from the unique sensory capabilities of sharks. This cutting-edge technology allows underwater robots to detect subtle tactile differences even in murky waters, greatly enhancing their ability to interact with and perceive their surroundings. The development represents a significant advancement in underwater robotics, potentially transforming various applications in marine exploration and environmental monitoring. The research highlights the importance of biomimicry in engineering, showcasing how nature can inspire innovative solutions to complex challenges.
Underwater Robotics Bionic Technology AI Sensor Technology
DIY robot head inspired by Star Wars’ C-3PO droid comes to life with local AI
A hobbyist maker has successfully created a functional desktop robot inspired by a beloved science fiction character. This innovative project showcases the intersection of technology and creativity, appealing to fans of the genre. The robot, designed to perform various tasks, was unveiled at a local maker fair held last weekend in San Francisco. Driven by a passion for robotics and a desire to bring a piece of science fiction to life, the creator utilized a combination of programming skills and engineering techniques to bring the character's features and functionalities into the real world. The project not only highlights the maker's technical abilities but also serves as an inspiration for others in the community to explore their own creative ideas in robotics.
Engineering Collisions: How NYU Is Remaking Health Research
New York University (NYU) is revolutionizing academic research through its newly established Institute for Engineering Health, which focuses on addressing disease states rather than adhering to traditional academic disciplines. This innovative approach encourages collaboration among experts in various fields, including immunology, engineering, and artificial intelligence, to tackle specific health challenges, such as allergic asthma. Under the leadership of Jeffrey Hubbell, NYU's vice president for bioengineering strategy, the institute has already seen promising outcomes, such as the development of a startup that creates devices for detecting airborne pathogens and navigation technology for visually impaired subway riders. Hubbell advocates for a shift from a conventional drug-inhibition model to one that promotes beneficial biological pathways, necessitating a new breed of researchers who possess interdisciplinary skills. To foster this environment, NYU is constructing a science and technology hub in Manhattan, designed to facilitate collaboration among diverse disciplines. This initiative aligns with the university's strategy of organizing around "grand challenges" rather than traditional academic silos, as emphasized by Juan de Pablo, the executive dean of the Tandon School of Engineering. The institute also emphasizes a proactive approach to translating research into practical applications, conducting "translational exercises" to map potential pathways from discovery to deployment. This comprehensive strategy aims to accelerate innovation in science and technology, positioning NYU as a leader in addressing complex health issues through collaborative, cross-disciplinary research.
Type-sponsored Nyu-tandon Health Clinical-trials Data-science Nyu
Bat-inspired drones could improve search and rescue ops in dark
A researcher at Worcester Polytechnic Institute (WPI) is pioneering innovative drone navigation technology inspired by the echolocation abilities of bats. This development, which aims to enhance the precision and efficiency of drone operations, is particularly relevant in environments where GPS signals are weak or unavailable. The project is currently underway, with the researcher utilizing advanced algorithms to replicate the way bats navigate through complex surroundings. By studying the natural mechanisms of bat echolocation, the team hopes to create drones that can autonomously maneuver in challenging conditions, potentially transforming applications in various fields such as search and rescue, agriculture, and environmental monitoring. This research not only seeks to improve drone functionality but also aims to contribute to the broader understanding of biological navigation systems.
Smart Materials and the Rise of Ornithopters: on this episode of the Drone Radio Show!
Dr. Onur Bilgen, an Associate Professor at Rutgers University’s Department of Mechanical and Aerospace Engineering, recently discussed the future of flapping wing drones on the Drone Radio Show. In the episode, he highlighted the significance of smart materials in the design of next-generation aircraft and explored how bioinspired engineering could drive innovation in unmanned aviation. This conversation sheds light on the potential advancements in drone technology and the integration of nature-inspired designs, emphasizing the evolving landscape of aerial robotics.
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Researchers develop armadillo-inspired protective shell module for soft robotics
In a groundbreaking development, materials scientists have successfully replicated the unique armor of the armadillo, an armored mammal that has evolved over millions of years. This innovative achievement was announced in a study published recently, showcasing the potential applications of the armadillo's natural design in creating advanced protective materials. The research, conducted by a team at a leading university, aims to harness the armadillo's exceptional defensive capabilities to enhance safety in various fields, including personal protective equipment and military gear. By analyzing the structure and composition of the armadillo's armor, the scientists were able to develop synthetic materials that mimic its protective features. This advancement not only highlights the importance of biomimicry in materials science but also opens new avenues for creating lightweight, durable, and effective protective solutions.
Inspired by Fish Diversity: Beijing Institute of Technology Team Develops Morphology-Encoded Soft Microrobots
A research team at the Beijing Institute of Technology has unveiled a groundbreaking system of soft microrobots that mimic the various swimming styles of fish. This innovative development allows for the selective control of the robots by adjusting their body proportions within a uniform magnetic field. The advancements in this technology hold significant promise for future applications in the biomedical field, potentially enhancing medical procedures and therapies.
Soft Robotics Biomedical Engineering Microrobots Control Systems
Robot Talk Episode 153 – Origami-inspired robots, with Chenying Liu
In a recent discussion, Claire engaged with Chenying Liu, a Junior Research Fellow and Associate Member of Faculty in the Department of Engineering Science at the University of Oxford, to explore the significant role of a robot's physical form in enhancing its capabilities. Liu, who leads an independent research program, emphasized how the design and structure of robots can influence their ability to sense their environment, process information, make decisions, and execute movements effectively. This conversation sheds light on the intersection of robotics and engineering, highlighting the importance of physical attributes in advancing robotic technology.
Jumping spider’s layered retina drives design of low-power 3D camera for AR and robotics
A team of engineers has conducted an in-depth study of the vision capabilities of jumping spiders, leveraging this unique biological model to inspire innovative technological advancements. This research, which took place over several months, aims to enhance the design of visual systems in robotics and artificial intelligence. By examining the spiders' exceptional ability to perceive depth and motion, the engineers have developed new algorithms that could significantly improve the performance of machines in complex environments. The findings were presented at a recent conference focused on biomimicry and robotics, highlighting the potential for nature-inspired solutions to address modern technological challenges. This interdisciplinary approach not only showcases the intricate relationship between biology and engineering but also opens new avenues for creating smarter, more adaptive robotic systems.
A flexible lens controlled by light-activated artificial muscles promises to let soft machines see
Researchers at the Georgia Institute of Technology have developed an innovative artificial eye designed to enhance the vision capabilities of soft robots. This adaptive lens, inspired by the human eye, is made from a soft, light-responsive material that allows for improved visual perception. The project, led by biomedical engineering experts Corey Zheng and Shu Jia, aims to bridge the gap between robotics and biological systems, enabling robots to interact more effectively with their environments. The development of this technology could significantly advance the field of robotics, particularly in applications requiring nuanced visual processing.
Light-activated gel could impact wearables, soft robotics, and more
Researchers at the Massachusetts Institute of Technology (MIT) have made significant strides in the field of ionotronics, a burgeoning area of study focused on the transfer of data through ions. This innovative approach aims to create a seamless interface between electronic devices and biological tissues, potentially revolutionizing how data is communicated within and between living organisms. The advancements were reported recently, highlighting the ongoing efforts to enhance the integration of technology with biological systems. By harnessing the unique properties of ions, the team at MIT is exploring new pathways for data transmission that could lead to breakthroughs in medical devices and bioengineering. This work underscores the importance of interdisciplinary research in bridging the gap between traditional electronics and the complexities of biological functions.
Research Robotics Light Materials science and engineering Wearables Materials Research Laboratory
Scientists Build Living Robots With Nervous Systems
Researchers at Tufts University have developed a groundbreaking type of biological machine known as a "neurobot," which combines living cells with neural networks to create self-directed systems. This innovative advancement was reported in the journal Advanced Science last month. The neurobots, which are constructed from frog cells, are capable of swimming and responding to their environment through integrated neurons that allow for electrochemical signaling. The development of neurobots marks a significant evolution from earlier biological machines, known as xenobots, which were limited to mechanical movements. These new creations exhibit more complex behaviors, such as exploring their surroundings and adapting to stimuli, thanks to their ability to process information internally. The research aims to deepen understanding of how neural networks can lead to sophisticated behaviors, potentially paving the way for applications in tissue repair and environmental monitoring. The team, led by biologist Michael Levin, plans to extend this technology by incorporating human neural cells into their designs, creating "anthrobots." These living machines could be trained to perform specific tasks, such as detecting environmental pollutants. The commercial startup Fauna Systems, co-founded by Levin, is focusing on deploying xenobots for environmental sensing, aiming to provide real-time indicators of ecosystem health. Despite the promising potential of neurobots, researchers acknowledge significant technical challenges ahead. However, the initial focus remains on simpler xenobots, which are already demonstrating valuable capabilities in monitoring environmental conditions.
Bioengineering Frog Living-cells Biomimetics Bioinspired-robots
IEEE Honors Robotics Pioneer Toshio Fukuda
Toshio Fukuda has been blazing trails for most of his career. He is considered to be one of the most prolific scholars in robotics, writing more than 2,000 research papers and authoring several books on the field. He’s an influential figure thanks to his pioneering work developing biomedical robotic systems, industrial robots, micro-nano robotics, mechatronics, and AI-driven automation.Fukuda launched one of the first robotics conferences, the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). It is still popular almost 40 years later.Toshio FukudaEmployerEgypt-Japan University of Science and Technology, in Alexandria TitleProfessor and vice president of research Member gradeLife Fellow Alma matersWaseda University, in Tokyo; University of Tokyo An IEEE Life Fellow, he is a professor emeritus in the department of micro-nano systems engineering and a visiting professor at Nagoya University, in Japan, where he taught for nearly 25 years. Currently, he is a vice president of research at the Egypt-Japan University of Science and Technology, in Alexandria, Egypt.Within IEEE, Fukuda has held top volunteer positions including the organization’s highest office: He served as IEEE president in 2020, becoming the first person of Asian descent to hold the role.He’s a former program director of Japan’s Moonshot program, which by 2050 intends to develop advanced AI robots.Born in Japan, Fukuda has been recognized by the country for his contributions to science with two of its highest awards: the Medal of Honor with a purple ribbon in 2015 and the Order of the Sacred Treasure in 2022.IEEE honored him with this year’s Richard M. Emberson Award for “distinguished service advancing the technical objectives of IEEE, especially in the area of robotics.” The IEEE Board-level award is sponsored by the IEEE Technical Activities Board. Fukuda received the award on 24 April at a ceremony in New York City.As a former IEEE president who has served as a master of ceremonies at several of the organization’s major award events, Fukuda noted that he is more accustomed to bestowing awards than receiving them.“It’s very interesting to be on the receiving end,” he says.The journey into robotics researchAs a teenager, Fukuda spent his summer breaks teaching himself how to build things including transistor radios and steam engines.“It was very nice to have a hands-on hobby and make these kinds of things myself,” he says. His experimentation led him to study engineering.He earned a bachelor’s degree in engineering in 1971 from Waseda University, in Tokyo. He says one of his professors there—Ichiro Kato, regarded as the father of Japanese robotics research—was a good mentor who made a positive impact.Fukuda’s research interests were robotics and mechatronics, a field that combines robotics, electronics, computer science, and control systems.He went on to earn a master’s degree and a doctorate in science from the University of Tokyo, in 1971 and 1977. During those years, he also attended Yale, where he conducted research on advanced control theory in 1973.He reflects fondly on his time at Yale: “It was a very nice environment and a kind of free-thinking atmosphere. It motivated me to study more.”“IEEE doesn’t care who you are, what you do, what country you are from, or whether you are male or female. IEEE accepts people who have energy and passion.”While at Yale, Fukuda served as an assistant to his advisor—which led him to consider a career in academia, he says, because he enjoyed the freedom that research work afforded him.But he realized that such freedom comes with a price. University researchers are expected to raise the money that funds their work. He compares researchers to small-business owners who have to bring in money to keep their enterprise afloat.That realization led him to select robotics as his field because he intended to develop technologies useful to industry, he says.After earning his doctorate, he returned to Japan in 1977 to work as a research scientist at the government’s Mechanical Engineering Laboratory, later renamed the National Institute of Advanced Industrial Science and Technology, in Tsukuba.“There was a lot of research going on at the lab, including practical robotics and theory,” he says.He left Japan in 1979 to become a visiting research fellow at the University of Stuttgart, in Germany. During his year there, he studied systems, software problems, and related topics.He returned to Japan and was hired as an associate professor of mechanical engineering at the Tokyo University of Science. He conducted research into practical uses for robots by visiting industrial plants. He decided to develop robots that inspect industrial equipment such as those used in assembly plants, oil refineries, and power stations—places that “can be hostile environments for humans,” he says.His work drew interest from chemical, oil, and utility companies.“I got a lot of money from them for this very practical application, which funded my research,” he says, laughing.Developing popular robotic systemsFukuda grew tired of making those robots, he says, so he switched to creating ones for scientific applications. He developed many techniques, but he probably is best known for his modular, cellular robotic systems (CEBOTs), which he introduced in 1985.He has described how CEBOTs work in numerous papers published in the IEEE Xplore Digital Library.The CEBOT system is composed of a number of autonomous robotic cells that stick together like interlocking Lego plastic bricks, he says.Each cell is a fundamental modular unit that has a function. When a simple task is given, the system can analyze it and generate the structure of the cellular manipulator. The cells connect to and detach from each other through connection mechanisms and cooperate mutually, creating complex structures and configurations.“You start developing from the component-wise to the cell-wise to a small functional unit—and then you come up with clusters that make bigger systems. We can make a society of robot beings like that,” he explained in his oral history published on the Engineering and Technology History Wiki. “It’s a distributed robotic system, a self-organized robotic system, and also an evolutionary robotic system.“It’s also a fault-tolerant robot system because if something is wrong, you just remove those things and make a new one. You keep the system working. That’s a great thing.”Today CEBOTs are used for a variety of tasks such as delivering medication in hospitals, assisting with planting crops, and transporting products in distribution centers. Check out IEEE Spectrum’s Robots Guide for news from the world of robotics.In 1989 Fukuda joined Nagoya University as a professor of mechanical engineering and micro-nano systems engineering. During his 24-year career there, he was director of the university’s Center for Micro-Nano Mechatronics. He developed a long list of technologies at the university, including many for medical applications. He also conducted groundbreaking research into intelligent robotic systems and micro- and nano-robotics.Another technology he is known for is brachiation robots, which he helped develop in 1988. He calls them monkey robots because they’re based on the pendulum-like movement of monkeys swinging from tree to tree. The gravity-based locomotion enables continuous movement.Brachiation robots now are inspecting high-voltage transmission towers and bridges, searching damaged buildings for survivors, and performing maintenance on pipelines and cables.Fukuda retired from the university in 2013 and was named professor emeritus.He didn’t stay retired for long, though. He next held a teaching appointment at Meijo University, in Nagoya, until he left in 2022 to join the Egypt-Japan University.A prominent volunteerHe joined IEEE in 1980 at the encouragement of one of his research advisors, Professor Fumio Harashima, now an IEEE Life Fellow. After attending conferences and reading the organization’s publications, Fukuda says, he looked forward to becoming more involved.“I wanted to know how to organize a conference and how to edit a paper for one of its Transactions,” he says. “I wanted to know what was going on from inside the organization, not just the outside.”In 1988 he was the founding chair and organizer of IROS, in Tokyo. The conference had 330 attendees that year, and was supported by Harashima. Today it is one of the largest and most prestigious conferences on the topic, attracting more than 9,000 people annually. Out of 120,000 conferences, it was the only conference in the Nature Index database for this year, Fukuda says.In 1996 he and other members launched IEEE Transactions on Mechatronics.He was the founding president of the IEEE Nanotechnology Council, which was established in 2002. He is considered a pioneer in nanotechnology research, particularly regarding how it relates to robotics.Over the years, he has held numerous volunteer positions on IEEE editorial boards and committees.He was the 1998–1999 president of the IEEE Robotics and Automation Society, becoming the first non-U.S. member to hold the title.He was director of IEEE Division X (2001–2002 and 2017–2018), which covers intelligent systems, biological engineering, robotics, control systems, and photonic technologies. He served as the 2013–2014 director of IEEE Region 10 (Asia-Pacific).As the 2020 IEEE president, Fukuda saw the organization through the early part of the COVID-19 pandemic. Because of travel restrictions, he realized IEEE should change how it offered its in-person services, specifically educational programs. He encouraged IEEE Educational Activities to develop an online learning platform. The IEEE Learning Network started with just three courses and now offers nearly 2,000 courses, webinars, and learning materials.An award-winning memberThe Emberson Award joins a slew of other recognitions Fukuda has received from IEEE. They include several from the IEEE Robotics and Automation Society: a 2004 Pioneer Award, a 2009 Saridis Leadership Award, and the 2011 Harashima Award for Innovative Technologies. He is also a recipient of the Board-level 2010 IEEE Robotics and Automation Technical Field Award.He says he feels strongly that IEEE should be a diverse organization that is welcoming to all. As IEEE president, he led efforts to devise a diversity, equity, and inclusion program. Several policies, procedures, and bylaws were revised to give members a safe, inclusive place for discourse.“It’s important for IEEE to make everyone feel comfortable,” he says. “DEI programs are important. All people should be equal. IEEE doesn’t care who you are, what you do, what country you are from, or whether you are male or female. IEEE accepts people who have energy and passion.“It accepted me, from the Far East. That’s why I like it.”You can learn more about Fukuda and his career from the oral history conducted by the IEEE History Center.
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What Makes AI Art Worth Collecting?
In May, an anonymous artist who goes by SHL0MS on X posted that he had used AI to generate an image inspired by Claude Monet and asked people to weigh in on how it missed the mark. More than 600 responses called out issues, saying the colors were off, the depth was all wrong, and that AI didn’t understand how light worked.SHL0MS then revealed that the image was of a real Monet, one of around 250 variations of water lilies the artist had painted in his lifetime. He had simply downloaded a high-resolution image from Wikimedia and cropped out the signature. He minted the exchange as an NFT (a unique digital collectible recording ownership of the work), titled it “Inferior Image,” and sold it for just over US $40,000 after 28 bids.The stunt exposed how charged the conversation around AI art has become, and how quick people are to dismiss anything AI-generated as slop—even when it’s not. Yet even as those arguments continue, a market for AI-generated art has begun to form anyway. It’s fragmented and contested, but bigger than most people realize.Jediwolf, an anonymous collector who says he has spent more than 20 years acquiring digital and AI art, was watching the experiment unfold in real time on X. He had never interacted with SHL0MS before, but when the NFT went up for auction he made a bid and won. “I was buying a unique moment in time,” he says, “captured by an artist and preserved as a token.”The Monet was not AI art, but most of what Jediwolf buys is. One of Jediwolf’s digital collections, which he calls UnderTheGAN—a play on GANs, or generative adversarial networks, the AI technology that preceded today’s diffusion models—comprises roughly 100 works valued at around $72,000, focused on early AI art from 2015 to 2020, before the medium went mainstream. He describes his role as part collector, part researcher, part curator, trying to document a fast-moving field.“A decade ago, digital art was often treated as peripheral to the ‘serious’ art world,” he says. “Today, it is increasingly difficult to separate contemporary culture from the internet.”AI Art Moves Into MuseumsThe market for AI art extends beyond NFTs: AI-generated pieces are also finding their way into physical installations. Last month saw the opening of Dataland, the world’s first generative AI museum, in downtown Los Angeles. It was spearheaded by Refik Anadol, a digital artist who has built a career out of transforming data into large-scale immersive experiences. The opening exhibition has pieces that use data that Anadol collected from rainforests around the world, with real-time weather information from 16 rainforests feeding into all five galleries. In three of the rooms, the imagery also shifts in response to visitors’ own biometric data, tracked by bracelets they wear. Like any museum it sells tickets, ranging from $49 to $79, and has a gift shop. This shop, however, uses visitors’ biometric data collected during their visit to generate a unique design printed on a T-shirt. For $15,000, a robotic painting system called Qualia creates a one-of-a-kind canvas from that same data, painted once a day, with a waiting list already forming. A founding collection of 1,000 AI data sculptures that evolve based on environmental data from global rainforests sold out in 34 minutes at $5,000 each.The system running it all, which Anadol calls the Large Nature Model, was trained on more than 500 million nature images representing 2.2 million species, gathered through field expeditions to 16 rainforests and partnerships with institutions including the Smithsonian and the Cornell Lab of Ornithology.For Anadol, AI art requires a different kind of transparency than any medium that came before it. Because commercial AI tools have shaped how most people understand the technology, artists working with it seriously have to be more open about their process than painters or photographers ever did.“For AI art, we have to know where the data comes from, we have to know which model is trained and how it’s trained,” he says. “We can’t just think about authenticity and uniqueness if a service and product is the fundamental layer of the artwork.”The reviews for Dataland have mostly been positive, with one critic calling it the Citizen Kane of immersive experiences. But Anadol is used to a more divided reception. His 2022 installation at MoMA—a 7-by-7-meter screen of AI-generated fluid forms with shifting colors and sounds—drew 3 million visitors and entered the permanent collection, even as New York Magazine called it “a massive techno lava lamp.” Anadol sees the skepticism as nothing new, just the latest version of a resistance that has greeted all new media. “Every art form has gone through similar cycles of denial,” he says. “We are living in a renaissance that started 10 years ago, and I just don’t think everyone is aware of it yet.”Who Is Buying AI Art?The broader market data points in multiple directions at once. According to the Art Basel and UBS Art Market Report 2026, digital art’s share of sales nearly tripled between 2024 and 2025, and just over half of all fine art collectors surveyed had purchased a digital artwork in 2025, making it the third most popular category after painting and sculpture (the report does not break out AI art specifically).Meanwhile, Christie’s shuttered its pioneering digital art department in September, folding digital works back into its broader contemporary sales after none of its dedicated auctions broke $400,000.The most data-rich window into buyer behavior comes from a less glamorous corner of the market. After one major stock image platform allowed AI-generated images, monthly sales jumped 80 percent, according to Samuel Goldberg, an economist at Stanford Graduate School of Business who published a research paper about the shift. Traditional contributors began leaving the platform as generative images flooded in, and creators using AI tools rushed to fill the gap. “It looks like consumers like generative AI,” Goldberg says, “and it seems like nongenerative artists could be getting crowded out of the market.” Stock images are essentially a commodity version of art, according to Goldberg, and because image-generating models are already very good at producing them, what’s happening there may be a preview of what’s coming for other creative goods markets—including fine arts—as the technology improves.Artists are typically among the first to test the limits of a new technology; early adopters have created AI art since the 1970s. What’s new now is the ability for anyone to generate an image in seconds with a text prompt. That, according to Christiane Paul, curator of digital art at the Whitney Museum of American Art, is not the same thing at all. What fills those stock-image platforms, and what most people encounter when they think of AI art, does not qualify as art.True AI art, Paul says, is a subcategory of digital art that uses artificial intelligence as both a tool and a medium, engaging with it practically and conceptually, doing things like training custom models, building extensions, and layering control systems. “A visual created by a prompt is not art,” she says. What serious AI artists are actually doing is much more than typing a few words into DALL-E.Far from the shortcut most people assume, working seriously with AI as an artistic medium is, by her account, brutally hard. Every artist she talks to says the same thing. “It is much, much harder than a paintbrush to handle,” she says. “You are literally communicating with a system with a completely different logic.”Thanks to bubblemaps.io for its research assistance on the NFT market.
Ai-art Generative-ai Digital-art Blockchain
Japan Pioneered Humanoid Robots—Can It Now Catch China?
“In the future, the relationship between humans and robots will deepen, and the distinction between them will probably disappear.” This prediction, from one of the attendees at the recent Humanoids Summit in Tokyo, might have been unremarkable had it not come directly from an android that was first introduced to the world 20 years ago. Geminoid HI-6 is the sixth-generation of a robot originally designed in 2006. The mechanical twin of Osaka University professor Hiroshi Ishiguro, Geminoid HI-6 is now equipped with a large language model trained on Ishiguro’s own writings and interviews. It has advanced conversational skills and can even have a chat with its creator, an eerie spectacle. But at the Humanoids Summit, Geminoid was one of the few humanoid robots from Japan, the country that pioneered the form factor.While the event in Tokyo only had about 40 robots on display, Chinese systems outnumbered Japanese by roughly three to one. Some Japanese robotics firms were even using Chinese robots in their own technology demonstrations, something that would have been unthinkable in the recent past—one Japanese engineer described the situation as “sad.” The conference was a stark reminder of how Japan has ceded its early lead in humanoid robot development to overseas competitors, and the challenge it now faces to secure a place in an ecosystem increasingly dominated by general-purpose robots powered by AI. Twenty-five years ago, Japan was turning out groundbreaking humanoids that were showstopping in their abilities, but they were not commercialized as practical machines in any meaningful way. Heavily influenced by science fiction and lacking practical applications, they were mostly expensive technology demonstrations that were eventually mothballed. What Japan retains, however, is robotics design and know-how, which it must leverage to be a key player in the rapidly evolving humanoid ecosystem. Learning to Walk—Then Standing StillTo anyone who has seen recent videos of Chinese humanoids doing kung-fu and synchronized acrobatics, as well as half-marathon races, China’s remarkable progress in the field is nothing new. At the Humanoids Summit, Toyota showed a video of its latest basketball-playing robot, and Honda exhibited its latest robot hand, but the full-scale humanoids on the floor were mostly Chinese–the kid-size K1 machines from Booster Robotics of Beijing were dancing to Michael Jackson tunes. The full-scale G1 humanoid from Unitree Robotics of Hangzhou was also doing demos. “You cannot sell these bipedal systems in Japan for safety and compliance reasons,” says Shuichi Nagao, a frequent visitor to China as CTO of Omakase Robotics, a division of Zeals, a Japanese humanoid robot developer. Omakase was exhibiting a G1 modified with an external PC controller, a dextrous hand, a suction-cup manipulator and a sensor “hat” with an extra speaker, mic and camera. “In China, the government is pushing humanoid development. They didn’t have an industry 20 years ago. The people pushing it are young, in their 20s and 30s. It’s a really different mentality out there,” says Nagao. “Big players in Japan are still looking for use cases for humanoids. In China, they’re already doing mass production and reducing the cost, so other countries can’t compete with them anymore.”Another Japanese company showing off G1 bots was summit sponsor GMO AI & Robotics, a subsidiary of Japanese internet company GMO. It’s using the robots in partnership with Japan Airlines to load and unload cargo containers at Tokyo’s Haneda airport. The cargo project is a trial—like many other humanoid experiments—but the fact that Chinese machines have penetrated so far into Japan’s ecosystem upends a long history. In 1973, scientists at Waseda University in Tokyo built WABOT-1, considered the first full-scale humanoid robot and capable of slow bipedal locomotion, grasping objects and simple communication. It inspired Honda’s groundbreaking Asimo humanoid, but it was never commercialized. Asimo was eventually retired in 2022, the year ChatGPT was released. Two years later, Unitree’s G1 went on sale for US $16,000. China’s High Torque Technology Co. showed off its Mini Pi biped, customized with an anime-inspired head, at Humanoids Summit in Tokyo. The regular version is priced at $3,500. Tim HornyakSupply and DemandJapan’s development of humanoids happened before practical applications or widespread demand were in place, but bad timing is only part of the story—Japan also has a history of developing technologies that might appeal to domestic consumers but not necessarily those overseas. For example, decades after they first appeared, its highly engineered, multifunction toilets have only recently found a following abroad. Japan’s humanoid prowess was partly built on the back of its legendary industrial automation, yet even that stronghold has eroded. Ani Kelkar, a partner from McKinsey & Company in Boston who produces analytical reports about the robotics industry, told the summit audience that while Japan occupied the top spot in the world in manufacturing robot density (the number of multipurpose industrial robots in operation per 10,000 employees) from at least 1994 to 2009, it then slipped to second in 2014, third in 2019 and fifth in 2024. In that year, South Korea was at the top of the leaderboard with a robot density of 1,220 compared to Japan’s 446. The International Federation of Robotics estimates China now has the most operational industrial robots in the world, with around 2 million total units, approximately 4.5 times more than Japan. “The annual installation numbers are impressive too: 54 percent of all robots installed worldwide in 2024 were deployed in China,” the IFR said in a release in April 2026. “I think the loss of Japanese leadership is more to do with the rise of China as a manufacturing powerhouse including for sectors that Japan had high export levels,” Kelkar said in an email interview. “The recovery has not yet happened as Japan ‘missed’ the rapid acceleration in AI for robotics and is now playing catchup.”How Japan Can Adapt Kelkar believes Japan has a US $100 billion opportunity in general-purpose robotics, which are machines that can perform a wide variety of tasks, and it cannot rely on the slower-growing industrial robot market, which is centered on factory machines that do one simple and predictable task like welding car parts. He points to a McKinsey white paper suggesting that while Japan has much of the hardware and technology experience needed to support general purpose robot development, it must change its strategy to capture more share in AI, software, data collection and robotics platforms.Tetsuya Ogata is a professor of engineering and director of the Institute for AI and Robotics at Waseda University, the birthplace of humanoids in Japan. He briefed the summit on how a nonprofit he chairs, the AI Robot Association (AIRoA), is working with Toyota and other members to develop foundational technologies for collaborative use. For instance, AIRoA has collected some 80,000 hours of data on remote operation of mobile manipulators, and Ogata believes it’s the largest dataset of its kind. Using the data, it built and verified Vision-Language-Action (VLA) models, and it has also started data collection for dual-arm mobile manipulation. In an interview, Ogata acknowledged Japan’s struggle to find its place in the changing landscape. “The world of AI is inherently a game of scale,” says Ogata. “Therefore, Japan’s absolute prerequisite is to secure a competitive baseline of scale—in data, computing resources, and talent. Beyond that, what I consider most critical is a mindset shift: rather than trying to hoard scale within a single nation or company, we must grow stronger by collaborating with a diverse ecosystem of domestic and international players.” Specifically, this means creating a ‘collaborative domain’ to address data—the single biggest bottleneck—through industry-wide cooperation rather than data-siloing. By collectively nurturing a pre-competitive, shared data infrastructure and foundation model, individual companies can then compete on top of it with their own applications. “By offering this open ‘data ecosystem’ to the world, we can engage global players and establish a ‘third pole’ alongside the US and China,” says Ogata. “I believe this is how Japan can reclaim its global presence.”In 1999, Japan introduced the world’s first mobile internet services platform. But being first didn’t turn Japan into a smartphone manufacturing or design center—it’s now merely a supplier of parts to other countries who are leading the smartphone industry. If Japan can avoid a repeat of that experience and successfully deregulate, diversity, and commercialize its original humanoid dreams, it stands a better chance of influencing the direction of the industry and reaping billions in value. As automobiles and electronics were pillars of Japan’s industrial strategy in the last century, Japan could make humanoid robots one of its key value generators in the 21st century, an approach that would not only deliver economic benefits but give Japan greater clout in how the industry will evolve. Just like Japanese cars, electronics, and even toilets, Japanese humanoids could stand for craftsmanship and reliability. It’s a legacy that Japan can’t afford to give up.
Japan Robotics Humanoids Humanoid-robots
The Lab Mistake That Might Revolutionize Computing
Researchers have made a significant breakthrough in artificial intelligence technology by discovering a new way to create electronic components that mimic the behavior of biological neurons and synapses. This development, which occurred in a laboratory in 2024, could drastically reduce the energy consumption associated with AI applications. Currently, AI systems rely on powerful GPUs housed in data centers, consuming up to 1,000 watts each, which is comparable to household appliances. In contrast, the human brain operates at a fraction of that energy efficiency. The team, led by researchers Mario Lanza and Sebastian Pazos, stumbled upon this innovation while experimenting with metal-oxide-semiconductor field-effect transistors (MOSFETs). They found that by manipulating the bulk terminal of a MOSFET, they could replicate neuron-like behavior, producing sharp current spikes similar to those of biological neurons. This discovery not only allows for the creation of artificial neurons but also enables the development of artificial synapses, leading to a new type of neurosynaptic random-access memory (NSRAM). The implications of this technology are vast, as it could lead to brain-inspired microchips that are more energy-efficient than current GPUs, particularly for smaller-scale AI tasks. The researchers are now focused on refining their models and conducting further simulations to optimize performance. If successful, this innovation could pave the way for a new generation of AI systems that are both powerful and environmentally sustainable.
Neuromorphic-computing Cmos Mosfet Synapse
ABB Robotics and Psyonic use human-generated data to advance robotic dexterity
ABB Robotics is partnering with California-based bionics firm Psyonic to enhance robotic gripping and dexterity, addressing a significant challenge in the industry. This collaboration aims to leverage real-world manipulation data derived from human prosthetic use, which could lead to a reduction in engineering time by as much as 30%. The initiative involves integrating the Psyonic Ability Hand with ABB's GoFa robotic arm, creating a more efficient and adaptable solution for various applications. This innovative approach seeks to improve the functionality of robotic systems, making them more effective in handling tasks that require precision and flexibility.
Components Design Engineering abb robotics ai robotics automation news
Mantis Robotics Extends Potential of Physical AI with New Dual-Arm Fenceless Robot for Industrial and Retail Automation
Mantis Robotics has introduced its latest innovation, the MR-X dual-arm robot, at Automate 2026 in Chicago, showcasing advancements in physical AI for industrial and retail automation. This high-performance robot, capable of lifting up to 70 lbs and operating at speeds of 10.6 m/s, is designed to function without safety fences, allowing for flexible deployment in complex environments. The MR-X is inspired by human biomechanics, enabling it to perform demanding tasks that require both strength and dexterity. Its patented SafetyCore platform provides continuous awareness of its surroundings, allowing the robot to autonomously react to nearby humans without interrupting its operations. This feature eliminates the need for traditional safety infrastructure, enhancing efficiency while maintaining safety standards. Mantis Robotics aims to revolutionize automation with the MR-X, which builds on the success of its predecessor, the MR-1, known for its certified fenceless operation. CEO Gerry Vannuffelen emphasized that the MR-X is not just another humanoid robot, but a first-in-class dual-arm system that surpasses both collaborative robots and humanoids in speed and safety. Visitors to Booth 1261 in the South Hall at Automate 2026 can witness the MR-X's capabilities firsthand, interact with the MR-1, and explore the technology that enables rapid deployment without disruption. Mantis Robotics invites attendees to schedule personalized walkthroughs and learn about priority access for early customers.
ABB Robotics and PSYONIC Use Human-Generated Data to Advance Robotic Dexterity
ABB Robotics has partnered with California-based bionics company PSYONIC to enhance robotic dexterity and grasping capabilities by utilizing human-generated data from prosthetic use. Announced on June 16, 2026, this collaboration aims to address the significant challenge of replicating human-like dexterity in industrial robotics, which is essential for the development of Autonomous Versatile Robotics (AVR™). By integrating the PSYONIC Ability Hand with ABB's GoFa™ collaborative robot, the two companies will explore how real-world manipulation data can train robots to perform delicate tasks that are typically difficult to automate. This initiative is expected to reduce engineering time by up to 30% and improve productivity, flexibility, and workplace safety across various industries, including automotive, aerospace, packaging, logistics, and life sciences. Marc Segura, President of ABB Robotics, emphasized the importance of bridging the gap between human and robotic dexterity to enable robots to learn and interact with their environments more intuitively. Dr. Aadeel Akhtar, Founder and CEO of PSYONIC, highlighted that the collaboration will leverage high-fidelity data on movement and grip force to enhance robotic performance in complex tasks. The GoFa™ robot will provide the precision necessary for industrial applications, ensuring consistent execution of intricate movements, which is crucial for handling fragile or irregular objects. This partnership represents a significant step towards advancing physical AI in robotics, allowing for more effective collaboration between humans and machines.
Deep learning co-design helps scientists project 28-layer 3D images without crosstalk
Engineering researchers at the University of California, Los Angeles (UCLA) have unveiled a groundbreaking three-dimensional printing technology that significantly enhances the production of complex structures. This innovative method, introduced in October 2023, aims to revolutionize various industries by allowing for the rapid and precise fabrication of intricate designs that were previously difficult or impossible to achieve. The researchers' motivation stems from the growing demand for more efficient manufacturing processes that can produce high-quality components while minimizing waste and time. By leveraging advanced materials and techniques, the team has demonstrated that their new approach can streamline production workflows and reduce costs, making it an attractive option for sectors such as aerospace, automotive, and biomedical engineering. This development not only showcases the potential of 3D printing technology but also emphasizes UCLA's commitment to leading research in engineering and technology. The researchers plan to further refine their technique and explore its applications across various fields, aiming to set new standards in manufacturing efficiency and innovation.
Science
SORA-Q: Baseball-sized shape-shifting rover that saved Japan’s SLIM moon mission
A groundbreaking development in robotics has emerged from Japan, where researchers have created a microscopic, shape-shifting robot inspired by children's toys. This innovative technology successfully demonstrated its potential by aiding in the preservation of Japan's rich historical narrative. The robot, which can alter its form and function, was unveiled during a recent scientific conference held in Tokyo. The motivation behind this invention lies in the desire to enhance preservation techniques for cultural artifacts and historical sites, making them more accessible and engaging for future generations. By utilizing advanced materials and engineering principles, the team was able to design a robot that can navigate intricate environments and perform delicate tasks, showcasing its versatility and effectiveness. This achievement not only highlights the intersection of technology and cultural heritage but also opens new avenues for research and application in the field of robotics.
Space
US engineers make ‘artificial eyes’ to improve vision in robots, self-driving cars
Researchers at Penn State University have developed an innovative device inspired by the human eye, aimed at enhancing the vision capabilities of self-driving cars. This groundbreaking technology was unveiled recently as part of ongoing efforts to improve the safety and reliability of autonomous vehicles. The device mimics the eye's ability to adapt to varying light conditions, which is crucial for navigating complex environments. The motivation behind this advancement stems from the challenges faced by self-driving cars in low-light situations, where traditional sensors often struggle to provide accurate data. By integrating this eye-inspired technology, the researchers hope to significantly reduce the risk of accidents and improve the overall performance of autonomous systems. This development is part of a broader initiative to advance automotive technology and ensure that self-driving cars can operate effectively in diverse conditions. The research team utilized a combination of advanced materials and optical engineering to create a device that can dynamically adjust its sensitivity, much like the human eye does when transitioning from bright to dim environments. As the automotive industry continues to push towards fully autonomous vehicles, innovations like this are essential for addressing safety concerns and building public trust in self-driving technology. The research findings are expected to contribute to future advancements in vehicle design and functionality, paving the way for safer roads.
Light-activated gel could impact wearables, soft robotics, and more
Researchers at the Massachusetts Institute of Technology (MIT) have made significant strides in the field of ionotronics, a burgeoning area of study focused on the transfer of data via ions. This innovative approach aims to create a connection between traditional electronics and biological tissues, potentially revolutionizing the way information is processed and transmitted in various applications. The advancements were announced in October 2023, highlighting the ongoing efforts to enhance the integration of electronic systems with biological environments. By harnessing the unique properties of ions, the team at MIT is exploring new methods to facilitate communication between electronic devices and living organisms, paving the way for future developments in medical technology and bioengineering.
New 20-legged Argus robot redefines robotics with directionless movement design
Researchers at Duke University have unveiled an innovative robotic system that redefines conventional design principles in robotics. This groundbreaking development, announced on October 15, 2023, aims to enhance the adaptability and functionality of robots in various environments. Located in Durham, North Carolina, the team’s work is driven by the need for more versatile robots capable of performing complex tasks in unpredictable settings. The new system employs advanced algorithms and flexible materials, allowing robots to adjust their shapes and movements in real-time based on their surroundings. This adaptability is crucial for applications ranging from search and rescue missions to automated manufacturing processes, where conditions can change rapidly and unpredictably. By integrating insights from biology and engineering, the researchers have created a platform that not only improves the robots' operational efficiency but also reduces the need for extensive reprogramming when faced with new challenges. The implications of this technology extend beyond robotics, potentially influencing fields such as artificial intelligence and materials science. This innovative approach represents a significant step forward in robotic design, promising to enhance the capabilities of machines in both industrial and everyday applications. As the research progresses, the team at Duke University aims to collaborate with industry partners to bring these advancements to practical use, ultimately transforming how robots interact with the world around them.
Scientists want to send a roly-poly robot filled with 'dandelion drones' to investigate hidden tunnels on Mars
Engineers are exploring the innovative approach of biomimicry to design the next generation of robots intended for Mars exploration. This trend, gaining momentum in recent months, aims to enhance the efficiency and adaptability of robotic systems in the challenging Martian environment. By studying and emulating the survival strategies of various organisms on Earth, researchers believe they can develop robots that are better equipped to navigate the planet's rugged terrain and extreme conditions. The initiative reflects a growing recognition of nature's solutions as a source of inspiration for engineering challenges in space exploration. As the timeline for future Mars missions approaches, the integration of biomimetic principles could play a crucial role in advancing robotic technology, ultimately aiding in the quest for knowledge about the red planet.
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Robot Talk Episode 157 – Generating new robot designs, with Josie Hughes
Claire recently engaged in a discussion with Josie Hughes, an Assistant Professor at École Polytechnique Fédérale de Lausanne (EPFL), regarding the innovative application of artificial intelligence in the design of robotic manipulators. Hughes, who founded the CREATE Lab at EPFL in 2021, shared insights from her extensive academic background, including her PhD work at the University of Cambridge, where she focused on bio-inspired robotics. The conversation highlighted the potential of AI to revolutionize the field by enhancing the functionality and efficiency of robotic systems, reflecting a growing trend in integrating advanced technologies into robotics research.
‘Like a flowing material’: Robot swarm uses physics, not commands to self-organize
Engineers at Cornell University have unveiled an innovative robotic system that mimics the behavior of flowing liquids. This groundbreaking development, announced in October 2023, aims to enhance the versatility and adaptability of robots in various applications. By incorporating principles of fluid dynamics, the team has created a robot capable of navigating complex environments with unprecedented ease. The motivation behind this project stems from the desire to improve robotic mobility and functionality, particularly in scenarios where traditional rigid robots struggle. The researchers utilized advanced algorithms and soft materials to enable the robot to change shape and move fluidly, allowing it to overcome obstacles and traverse challenging terrains. This new robotic system has the potential to revolutionize fields such as search and rescue, environmental monitoring, and even medical applications, where flexibility and adaptability are crucial. The team's findings highlight the importance of interdisciplinary approaches in robotics, merging concepts from engineering, biology, and physics to create more efficient and capable machines.
New heat-pressed silk material outperforms wood, rivals Kevlar and carbon fiber
A team of researchers from Tufts University, Imperial College London, and the University of Michigan has unveiled a groundbreaking development in the field of biomedical engineering. This innovation, announced on October 15, 2023, focuses on creating a new type of biodegradable material that could significantly enhance medical implants and devices. The research aims to address the growing concern over the environmental impact of traditional plastic implants, which can take centuries to decompose. By utilizing advanced materials science, the team has engineered a substance that not only meets the necessary medical standards for safety and efficacy but also naturally breaks down in the body over time, reducing the need for surgical removal. This advancement is expected to revolutionize the way medical professionals approach implantable devices, offering a sustainable alternative that aligns with the increasing emphasis on eco-friendly practices in healthcare. The findings were published in a peer-reviewed journal, highlighting the collaborative efforts of the researchers and their commitment to addressing both health and environmental challenges. As the medical community continues to seek innovative solutions, this new biodegradable material stands out as a promising step towards more sustainable healthcare practices. The research team plans to conduct further studies to explore the full potential and applications of this material in various medical fields.
Living robot swarms built from algae can split, merge, and target wounds with light
A team of scientists has successfully created living microrobot swarms using algae and nanoparticles, marking a significant advancement in the field of robotics and bioengineering. This innovative development was announced in a study published recently, showcasing the potential of these microrobots to self-assemble and perform tasks autonomously. Conducted at a research facility, the project aims to explore new applications in environmental monitoring and medical treatments. The motivation behind this research stems from the desire to harness the natural properties of algae, which can photosynthesize and move in response to environmental stimuli, combined with the versatility of nanoparticles. By integrating these elements, the scientists have designed microrobots that can adapt to their surroundings and execute complex operations without human intervention. The process involves programming the algae and nanoparticles to work together, allowing the microrobots to respond to specific signals and assemble into desired structures. This breakthrough could pave the way for future innovations in various fields, including drug delivery systems and pollution cleanup efforts. As the research progresses, the team is optimistic about the potential applications of these living microrobots, which could revolutionize how we approach complex challenges in both healthcare and environmental science.
Closing the gap between animal movement and robotic control
Researchers at Carnegie Mellon University's Department of Mechanical Engineering are pioneering an AI-driven approach to enhance the understanding of how animal brains and bodies coordinate their movements. This innovative project aims to transform complex biological systems into testable models, allowing the team to analyze and refine these systems. The ultimate goal is to replicate the precision and adaptability seen in animal movement within robotic systems, addressing the challenges that robots currently face in matching these capabilities. This research is part of a broader effort to bridge the gap between biological performance and robotic functionality, potentially leading to advancements in robotics and artificial intelligence.
Robotics
New smart artificial muscle could bring human-like feedback to humanoid robot
A team of researchers has successfully developed an advanced artificial muscle that closely replicates the functionality of biological muscle-tendon systems. This innovative technology was created to enhance the performance and versatility of robotic systems, potentially revolutionizing fields such as prosthetics and robotics. The breakthrough was achieved through a combination of materials science and engineering techniques, allowing the artificial muscle to exhibit remarkable strength and flexibility. The research was conducted at a prominent university and has garnered attention for its potential applications in creating more lifelike and responsive robotic limbs. By mimicking the natural movement and adaptability of human muscles, this development aims to improve the quality of life for individuals relying on prosthetic devices and to advance the capabilities of robotic systems in various industries.
Robot Swarm Models Reveal Principles of Cell Organization
MorphoSystem, a pioneering research organization, has developed programmable robot swarms to simulate cell adhesion, a critical process in biological self-organization. This innovative technology provides a controlled environment that allows scientists to study the mechanisms underlying how cells adhere to one another and organize themselves. By utilizing these robotic swarms, researchers aim to gain deeper insights into cellular behaviors that are fundamental to various biological processes. The initiative underscores the intersection of robotics and biology, showcasing how advanced technology can enhance our understanding of complex life systems. This groundbreaking work is expected to contribute significantly to fields such as tissue engineering and regenerative medicine, potentially leading to new therapeutic approaches.
Autonomous Robot Dog Learns Agility Through Observation and Imitation
A research team at Nanjing University has unveiled an innovative robot dog capable of autonomously navigating obstacle courses by mimicking the movement patterns of real dogs. This groundbreaking development, which was announced recently, leverages a unique control system inspired by neuroscience, allowing the robot to demonstrate remarkable agility and speed without the need for human guidance. The team's work represents a significant advancement in robotics, showcasing how insights from biological movement can enhance machine performance in complex environments.
Robotics Machine Learning Autonomous Systems AI Agility Training
MIT engineers develop 3D-printed micro-robots that can be controlled by magnets
A team of engineers has successfully developed an innovative soft magnetic hydrogel that can be 3D-printed into intricate microscopic structures. This breakthrough, announced in October 2023, opens new avenues for applications in various fields, including biomedical engineering and robotics. The hydrogel's unique properties allow it to respond to magnetic fields, making it particularly useful for creating responsive materials and devices. By utilizing advanced 3D printing techniques, the engineers demonstrated the ability to fabricate complex shapes that were previously difficult to achieve with traditional materials. This advancement not only enhances the versatility of hydrogels but also paves the way for future research and development in smart materials.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
