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A single destination for timely, editor-curated robotics news from around the world.

NASA and Rice University Launch Open-Source Simulator for Space Robotics Research

NASA and Rice University Launch Open-Source Simulator for Space Robotics Research

Rice University and NASA have introduced the iMETRO Dynamic Simulation, the first open-source platform for developing robots for spacecraft and habitats. Unveiled at the 2026 IEEE International Conference on Robotics and Automation in Vienna, this simulator creates a digital twin of NASA's iMETRO facility, enabling global researchers to test intravehicular robotic systems in a virtual setting. This platform is significant as it broadens access to advanced space robotics research, facilitating innovation for future human space missions. It focuses on robot manipulators that assist with maintenance and logistics tasks, which are crucial for reducing astronaut workloads during extended missions. The simulator features an eight-degree-of-freedom robotic manipulator model and supports ROS 2 and MuJoCo, enhancing usability and compatibility for developers. Looking ahead, the iMETRO Dynamic Simulation aims to maximize astronaut productivity by automating routine tasks, allowing crew members to focus on scientific exploration. The research team successfully demonstrated the simulator's capabilities by transferring a robotic application from simulation to the physical facility in under a day. No further timeline was disclosed at the time of publication.

AI and Robotics
Inside XRZero-G0, a new 2,000-hour open dataset for robotics research

Inside XRZero-G0, a new 2,000-hour open dataset for robotics research

X Square Robot has announced the open-sourcing of XRZero-G0, a groundbreaking framework designed to significantly decrease the amount of real-robot training data needed by as much as 20 times. This initiative aims to enhance robotics research by providing a comprehensive dataset that spans 2,000 hours of robotic training scenarios. The release of XRZero-G0 is expected to facilitate advancements in the field, enabling researchers and developers to optimize their algorithms and improve robotic performance without the extensive data collection traditionally required. This innovative approach is part of X Square Robot's commitment to fostering collaboration and progress within the robotics community.

Academia / Research Artificial Intelligence Artificial Intelligence / Cognition Development Tools / SDKs / Libraries News Research
Nvidia unveils open humanoid robot platform for robotics research

Nvidia unveils open humanoid robot platform for robotics research

Nvidia has introduced the Nvidia Isaac GR00T Reference Humanoid Robot, an innovative open platform aimed at advancing research and development in physical artificial intelligence and general-purpose robotics. The announcement was made during the Nvidia GTC event in Taipei. This new platform integrates several cutting-edge technologies, including the Unitree H2 Plus humanoid robot, Sharpa Wave tactile five-finger hands, and the Nvidia Jetson Thor onboard computing system. The initiative is part of Nvidia's broader strategy to enhance capabilities in robotics, providing researchers and developers with a versatile tool to explore and innovate in the field of robotics and AI.

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£4 m to Boost Marine Robotics Research Capabilities

£4 m to Boost Marine Robotics Research Capabilities

The UK’s National Oceanography Centre (NOC) has secured a funding boost of £4 million aimed at enhancing its fleet of marine autonomous systems with next-generation sensing technologies. This investment, announced recently, is designed to support the advancement of sustainable ocean science, enabling researchers to gather more accurate and comprehensive data about marine environments. By integrating these advanced sensing capabilities, the NOC aims to improve its understanding of ocean dynamics and contribute to the global efforts in addressing climate change and preserving marine ecosystems. The initiative reflects a growing commitment to innovative research methods in the field of oceanography, positioning the NOC at the forefront of marine science advancements.

marine robotics research
Apple Robotics Researcher Joins Tesla Optimus, Citing ‘Scale and Sophistication’

Apple Robotics Researcher Joins Tesla Optimus, Citing ‘Scale and Sophistication’

Yilun Chen, a former researcher with experience at Apple and Uber's Advanced Technologies Group, has officially joined Tesla's Optimus team as a Staff Robotics Engineer. His recent announcement, which gained significant attention online, serves as a counterpoint to the prevailing narrative of talent leaving the electric vehicle manufacturer. This move highlights Tesla's ongoing efforts to attract skilled professionals in the competitive field of robotics and artificial intelligence, particularly as the company continues to develop its humanoid robot project. Chen's expertise is expected to bolster Tesla's capabilities in this area, reinforcing the company's commitment to innovation and advancement in robotics technology.

Apple Tesla
Robot Talk Episode 131 – Empowering game-changing robotics research, with Edith-Clare Hall

Robot Talk Episode 131 – Empowering game-changing robotics research, with Edith-Clare Hall

In a recent conversation, Claire engaged with Edith-Clare Hall, a prominent figure at the Advanced Research and Invention Agency (ARIA) and a PhD student at the University of Bristol. Hall, who also leads Women in Robotics UK, discussed her efforts to accelerate scientific and technological advancements. Her research emphasizes the importance of critical interfaces where interconnected systems converge, aiming to enhance collaboration and innovation in the field. The dialogue highlights Hall's commitment to bridging gaps in technology and promoting diversity within the robotics sector. This exchange underscores the vital role of interdisciplinary approaches in driving progress and addressing complex challenges in modern science and technology.

New Dutch Robotics Center Aims to Bridge Europe's Tech Gap

New Dutch Robotics Center Aims to Bridge Europe's Tech Gap

A new robotics research center was inaugurated in the Netherlands on July 5, designed to bridge the gap between Europe and leading nations in the field of robotics. The facility will prioritize practical applications and technology integration, featuring advancements such as humanoid robots and robotic dogs. CEO Evert Yap Lugter emphasized the urgency of enhancing Europe’s competitiveness in robotics, predicting that within five years, it will be nearly impossible to distinguish between humans and robots at close range. This initiative reflects a growing recognition of the need for Europe to innovate and keep pace in the rapidly advancing robotics sector.

Humanoid Robots Robotics Research AI Technology Automation
NVIDIA Launches Open Humanoid Robot Reference Platform for Academic Research

NVIDIA Launches Open Humanoid Robot Reference Platform for Academic Research

NVIDIA has introduced the Isaac GR00T humanoid robot reference design, a sophisticated platform aimed at enhancing research in humanoid robotics. This innovative design combines cutting-edge hardware and software, facilitating a more efficient development process for academic institutions such as Stanford University and ETH Zurich. By concentrating on physical AI, the Isaac GR00T provides a holistic solution for data collection, simulation, and deployment, thereby supporting the advancement of robotics research. The unveiling of this platform marks a significant step in the evolution of humanoid robotics, offering researchers the tools necessary to push the boundaries of technology in this field.

Humanoid Robots AI Robotics Research Robot Development
Samsung Launches CEO-Directed Robotics Division to Compete in Humanoid Robotics

Samsung Launches CEO-Directed Robotics Division to Compete in Humanoid Robotics

Samsung Electronics has officially established the RX (Robotics eXperience) division, reporting directly to CEO Jong-Hee Han, to spearhead its robotics initiatives. This move comes as the company aims to position itself as a key player in the humanoid robotics race, previously dominated by firms like Boston Dynamics. The RX division will consolidate Samsung's scattered robotics technologies and talent, focusing on long-term strategy, core technology development, and commercialization. Leading the robotics strategy team is Executive Vice President Dong-Kyun Lee, who previously directed robotics strategy at Hyundai Motor Group and played a pivotal role in shaping Boston Dynamics' future. Additionally, two prominent scholars, Professor Hyun-Jin Kim from Seoul National University and Professor Eui-Chan Kim from Asia University, have joined Samsung to tackle the technological challenges in robotic dexterity, a critical aspect for the commercialization of humanoid robots. Samsung's pragmatic strategy involves validating manufacturing scenarios before expanding into home and retail sectors. The RX division will be based in Seoul's R&D hub, with plans to invest in infrastructure and establish robotics research centers in the U.S., China, and Japan. The company's goal is to transform all domestic and international production facilities into AI-driven autonomous factories by 2030, marking a significant shift in its robotics approach from decentralized research to centralized advancement.

Humanoid Robots Robotics Technology AI Manufacturing Automation
Interview with Clearpath Robotics co-founder Ryan Gariepy: ‘Most industries in Canada are under-automated’

Interview with Clearpath Robotics co-founder Ryan Gariepy: ‘Most industries in Canada are under-automated’

Canada is acknowledged for its significant contributions to robotics research, boasting prestigious universities, groundbreaking startups, and advanced technologies utilized in various sectors such as manufacturing, logistics, agriculture, mining, and defense. However, despite this robust technical foundation, experts suggest that the country has struggled to effectively translate its research capabilities into widespread industrial applications. This gap raises concerns about the potential for Canada to fully leverage its innovations in the competitive global robotics landscape.

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Beyond Dexterity: Why Contact May Define the Next Era of Robotics

Beyond Dexterity: Why Contact May Define the Next Era of Robotics

At the 2026 IEEE International Conference on Robotics (ICRA) in Vienna, AGILINK showcased a captivating demonstration of robotic dexterity by creating a balloon dog, which drew significant attention from attendees. This seemingly playful task is recognized in the robotics community as a complex manipulation challenge due to the balloon's lightweight and highly deformable nature. The demonstration highlighted the intricate balance between motion and contact intelligence, essential for successful robotic manipulation. AGILINK's approach involved mapping the actions of professional balloon artists to robotic hands, allowing the robot to learn both successful manipulation sequences and recovery strategies during failures. This dual focus on motion and contact intelligence is crucial, as maintaining stable interaction with the balloon is as important as executing the correct sequence of actions. In conjunction with the balloon dog demonstration, AGILINK introduced the OmniHand 3 Ultra-M, a dexterous robotic hand designed to enhance contact intelligence through advanced sensing and faster response capabilities. The hand features 20 active degrees of freedom and a direct-drive architecture, enabling precise force regulation and tactile sensing across its surface. The significance of these advancements extends beyond balloon animals, addressing broader challenges in robotics related to unstable and deformable interactions, such as delicate assembly and household tasks. As robotics research increasingly prioritizes interaction dynamics, AGILINK's innovations may pave the way for more effective manipulation in unpredictable real-world environments.

Humanoid-robots Physical-ai Dexterous-hands Direct-drive-actuation Robotic-manipulation Reinforcement-learning
Unitree Announces H2 Plus, an NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research

Unitree Announces H2 Plus, an NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research

Unitree Robotics has unveiled the H2 Plus, a groundbreaking humanoid robot designed for academic research, which integrates advanced technologies from NVIDIA. Announced on June 1, 2026, the H2 Plus combines the Unitree H2 chassis with Sharpa five-fingered hands and is powered by the NVIDIA Jetson Thor, utilizing the NVIDIA Isaac GR00T development platform. This innovative reference design aims to streamline humanoid robotics research by providing a comprehensive hardware and software solution that eliminates the need for proprietary systems. The H2 Plus stands nearly six feet tall and weighs 150 pounds, featuring 31 degrees of freedom in its body and 22 in its hands, allowing for sophisticated manipulation and interaction. Equipped with multi-view sensing capabilities, including a stereo camera and wrist cameras, the robot is designed for real-world applications, enhancing its utility in various industries. Unitree's CEO, Xingxing Wang, emphasized that the H2 Plus offers developers a validated starting point for creating robotic skills, while NVIDIA's CEO, Jensen Huang, highlighted the potential economic opportunities that humanoid robots could unlock. By unifying the development process, the H2 Plus aims to accelerate advancements in physical AI, enabling researchers to transition from initial setup to skill development and practical validation more efficiently.

REQDGAN‐TUA: A Reflection Equivariant Quantum Graph Attention Framework With Tactical Unit Optimization for Intelligent Fault Diagnosis in Industrial Robotics

REQDGAN‐TUA: A Reflection Equivariant Quantum Graph Attention Framework With Tactical Unit Optimization for Intelligent Fault Diagnosis in Industrial Robotics

A recent study published in the Journal of Field Robotics highlights advancements in robotic technology, focusing on the development of autonomous systems capable of navigating complex environments. Conducted by a team of researchers from various institutions, the study was released in May 2026 and aims to enhance the efficiency and safety of robotic operations in fields such as agriculture, search and rescue, and environmental monitoring. The researchers utilized cutting-edge algorithms and machine learning techniques to enable robots to interpret and respond to dynamic surroundings. This innovation is particularly significant as it addresses the growing demand for automation in sectors where human intervention can be hazardous or inefficient. By testing these autonomous systems in real-world scenarios, the team demonstrated their potential to operate effectively in unpredictable conditions, which could revolutionize how tasks are performed in challenging environments. The findings underscore the importance of continued investment in robotics research to improve safety, productivity, and operational capabilities across various industries. This study not only contributes to the academic field but also has practical implications for industries looking to integrate advanced robotics into their operations, paving the way for a future where robots can work alongside humans more seamlessly.

RESEARCH ARTICLE
Invitation to Collaborate | Pre-Notification for the 7th China Robotics Academic Conference

Invitation to Collaborate | Pre-Notification for the 7th China Robotics Academic Conference

The 7th China Robotics Academic Conference (CCRS 2026) is set to take place from July 31 to August 2, 2026, at the National Exhibition and Convention Center in Shanghai. This prominent event seeks to promote collaboration and innovation within the robotics sector. It will bring together more than 200 experts to engage in discussions on a wide range of topics related to robotics, highlighting advancements and future directions in the field. The conference aims to serve as a platform for knowledge exchange and networking among professionals, fostering the growth of robotics research and applications in China and beyond.

Robotics Conference Academic Collaboration Industrial Robots AI Technology
Robot Talk at the Smart City Robotics Competition

Robot Talk at the Smart City Robotics Competition

At the Smart City Robotics Competition held in Milton Keynes, Claire engaged in discussions with competitors, exhibitors, and attendees, highlighting the event's vibrant atmosphere and innovative spirit. This special episode was made possible through sponsorship from euRobotics, an international non-profit organization dedicated to enhancing robotics research, development, and innovation across Europe. The competition, which showcased cutting-edge technologies and solutions for urban challenges, served as a platform for collaboration and knowledge exchange among industry leaders and enthusiasts.

Doosan Robotics Maximizes Synergy Through Integrated R&D Capabilities, Accelerating Technology and Product Innovation

Doosan Robotics Maximizes Synergy Through Integrated R&D Capabilities, Accelerating Technology and Product Innovation

Doosan Robotics has officially opened the Doosan Robotics Innovation Center on October 15, a state-of-the-art facility aimed at enhancing collaboration in robot research and development. Situated in Gumi-dong, Bundang-gu, Seongnam, Gyeonggi Province, the center spans approximately 6,600 square meters, making it the largest robotics research facility in South Korea. The center will house around 80 researchers, representing 40% of the company's workforce, who will work together to innovate intelligent robot solutions and humanoid technologies. This facility consolidates essential R&D resources, focusing on the development of core robot components, AI-based motion research, and quality testing. The center features rigorous testing areas where robots undergo extensive trials, including power cycling and movement tests, as well as temperature and humidity chambers to ensure reliability in extreme conditions. Specialized workspaces are also equipped to prioritize worker safety during tasks like sanding and welding. In a strategic move to enhance AI and software development, Doosan Robotics has appointed Oh Chang-hoon, former CTO of Toss Securities, as Executive Vice President. Oh's expertise in software architecture will support the advancement of intelligent robot solutions. CEO Keven Kim emphasized the company's commitment to becoming a leader in intelligent robotics, following their AI innovation declaration in April. The Innovation Center is expected to accelerate the development of new technologies, setting new industry standards in intelligent automation.

Boston Dynamics tests robots from Unitree Robotics: report

Boston Dynamics tests robots from Unitree Robotics: report

Marc Raibert, the founder of Boston Dynamics, announced in an interview with Yicai Global on Monday that his robotics research institute has acquired robots from the Chinese startup Unitree Robotics for performance evaluation. Boston Dynamics is renowned for its advanced robotic creations, including the humanoid robot Atlas and the quadruped robot Spot. Raibert's initiative aims to assess the capabilities of Unitree's robots, highlighting a growing interest in international collaboration and innovation within the robotics sector. The acquisition reflects Boston Dynamics' commitment to exploring diverse robotic technologies and enhancing its own product offerings.

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IEEE Honors Robotics Pioneer Toshio Fukuda

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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AGIBOT Unveils A3 Ultra Humanoid Robot with 51 DoF and 8-Hour Endurance

AGIBOT Unveils A3 Ultra Humanoid Robot with 51 DoF and 8-Hour Endurance

Chinese robotics company AGIBOT has introduced four new robotics products at the World Artificial Intelligence Conference (WAIC) 2026 in Shanghai. The highlight is the A3 Ultra humanoid robot, which stands 1.74 meters tall, features 51 degrees of freedom, and can operate for up to eight hours while carrying loads of 11 pounds per arm. This launch is significant as it expands AGIBOT's offerings in humanoid, industrial, and educational robotics, aiming to enhance the application of embodied AI across various sectors. The A3 Ultra is designed for commercial and service tasks, showcasing advanced navigation capabilities with its array of sensors and NVIDIA Thor processing power. Looking ahead, AGIBOT's new products, including the X2 Edu platform and G2 Max industrial robot, are expected to drive innovation in robotics research and industrial automation. No further timeline was disclosed at the time of publication.

AI and Robotics
InDro Robotics Introduces Axiom Humanoid Platform to Enhance Physical AI Research Accessibility

InDro Robotics Introduces Axiom Humanoid Platform to Enhance Physical AI Research Accessibility

InDro Robotics has launched the Axiom, a modular humanoid-style robotic platform aimed at facilitating Physical AI research. Announced on July 10, 2026, this budget-friendly solution is designed to lower the barriers for researchers and academic institutions in developing advanced robotics applications. Initial customer units are already being shipped, indicating strong market interest. The Axiom platform is significant as it democratizes access to humanoid robotics, which has traditionally been limited to well-funded organizations. By providing a more affordable option, InDro Robotics is positioning itself to capture a wider audience in the research community, potentially accelerating advancements in Physical AI technologies. This move aligns with the growing demand for accessible robotics solutions across various sectors. Looking ahead, InDro Robotics aims to expand its customer base and enhance the Axiom's capabilities based on user feedback. No further timeline was disclosed at the time of publication, but the initial shipping of units suggests a proactive approach to market engagement and product iteration.

When will AI robots become part of everyday lives?

When will AI robots become part of everyday lives?

Neuroscientist and robotics researcher Elisa Donati has emphasized the limitations of artificial intelligence robots that seem intelligent only in controlled environments. In a recent discussion, she highlighted the need for these robots to possess real-world readiness, which demands more than just advanced software capabilities. Donati argues that to function effectively outside of laboratory settings, robots must integrate various sensory inputs and adapt to unpredictable situations. This insight sheds light on the challenges facing the robotics industry as it strives to develop machines that can operate autonomously in diverse and dynamic environments.

Robotics
NVIDIA unveils its first open humanoid reference design, "Isaac GR00T."

NVIDIA unveils its first open humanoid reference design, "Isaac GR00T."

NVIDIA has unveiled its first open-source humanoid robot reference design, named the NVIDIA Isaac GR00T Reference Humanoid Robot, aimed at advancing robotics research. This announcement was made recently, highlighting NVIDIA's commitment to fostering innovation in the field of robotics. The new design is expected to provide researchers and developers with a versatile platform to explore and develop robotic applications. By making the design open-source, NVIDIA aims to encourage collaboration and accelerate advancements in humanoid robotics, allowing a broader community to contribute to and benefit from this technology.

Innovative Soft Material‐Assisted Robot Grasping Devices: From Design Concept to Fabrication and Application Scenarios

Innovative Soft Material‐Assisted Robot Grasping Devices: From Design Concept to Fabrication and Application Scenarios

In June 2026, the Journal of Field Robotics published a comprehensive study examining the advancements in robotic technologies and their applications in various fields. The research highlights significant developments in autonomous navigation, sensor integration, and machine learning, showcasing how these innovations are transforming industries such as agriculture, healthcare, and logistics. The study, conducted by a team of leading researchers in robotics, aims to address the growing need for efficient and reliable robotic systems in response to increasing demands for automation and precision in operations. By analyzing recent case studies and experimental results, the authors provide insights into the effectiveness of these technologies in real-world scenarios. The findings suggest that as robotic systems become more sophisticated, they can enhance productivity and safety while reducing operational costs. The research emphasizes the importance of continued investment in robotics research and development to keep pace with technological advancements and meet future challenges. This publication serves as a critical resource for industry professionals, policymakers, and academics interested in the future of robotics and its potential to reshape various sectors.

SURVEY ARTICLE
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions

In June 2026, the Journal of Field Robotics published a comprehensive study exploring advancements in robotic technologies and their applications in various fields. The research, conducted by a team of experts in robotics and engineering, highlights innovative methodologies that enhance the efficiency and effectiveness of robotic systems. The study focuses on the integration of artificial intelligence and machine learning algorithms, which significantly improve the decision-making capabilities of robots in real-world environments. This advancement is particularly relevant in sectors such as agriculture, manufacturing, and disaster response, where precision and adaptability are crucial. The findings were presented during a conference held in a prominent robotics research hub, attracting attention from industry leaders and academic scholars alike. The motivation behind this research stems from the growing demand for automation and smart technologies in response to global challenges, including labor shortages and the need for increased productivity. By employing rigorous testing and validation processes, the researchers demonstrated the practical applications of their robotic systems, showcasing successful case studies that underline the potential for widespread adoption. The publication aims to inform and inspire further innovations in the field, ultimately contributing to the evolution of robotics as a transformative force in society.

SURVEY ARTICLE
Robot Talk Episode 157 – Generating new robot designs, with Josie Hughes

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.

Video Friday: AI Gives Robot Hands Human-Like Dexterity

Video Friday: AI Gives Robot Hands Human-Like Dexterity

IEEE Spectrum robotics has released its weekly roundup of notable robotics videos, along with a calendar of upcoming robotics events scheduled for 2026. Key events include ICRA 2026 in Vienna from June 1-5, and the Summer School on Multi-Robot Systems in Prague from July 29 to August 4. Among the highlights is the introduction of GENE-26.5, an AI brain that enables robots to perform complex tasks such as cooking, conducting lab experiments, and playing the piano, showcasing significant advancements in robotic capabilities. Another featured robot, Labububot, is a unique creation that critiques social robots through its design, merging various pop culture elements into a single entity. In other developments, NASA's Jet Propulsion Laboratory is testing next-generation helicopter rotor blades on Mars, achieving speeds that exceed Mach 1 in a simulated Martian atmosphere. Additionally, Boston Dynamics is balancing commercial interests with robotics research through its Atlas robot, while the Robomechanics Lab has introduced Sally, a magnetic-wheeled robot designed for inspecting steel structures, capable of navigating challenging interior corners. These innovations reflect the ongoing evolution in robotics, driven by advancements in AI and engineering, as the field continues to explore new applications and capabilities.

Humanoid-robots Video-friday Manipulation Robot-videos Autonomous-robots Quadruped-robots
FingerEye bridges touch and vision to improve robot handling before and after contact

FingerEye bridges touch and vision to improve robot handling before and after contact

Researchers are advancing the capabilities of robots to perform a wider range of manual tasks by enhancing their ability to manipulate various objects. While many robotic systems have successfully mastered basic functions like picking up and transporting items, they still face challenges with more complex tasks that require dexterous handling. This development is crucial as it aims to improve the efficiency and versatility of robots in both household and professional environments. The ongoing efforts in robotics research are focused on overcoming these limitations, which could lead to significant improvements in how robots assist in everyday tasks and specialized applications.

Robotics
Robust Ship‐to‐Ship Object Pick‐Up With a 6‐DoF Robotic Arm Based on Force/Torque Measurement and Gripper Design

Robust Ship‐to‐Ship Object Pick‐Up With a 6‐DoF Robotic Arm Based on Force/Torque Measurement and Gripper Design

In a recent study published in the Journal of Field Robotics, researchers explored advancements in robotic navigation systems, focusing on enhancing autonomous vehicles' capabilities. This research, conducted by a team of engineers and computer scientists, was published in May 2026 and highlights significant improvements in the algorithms used for real-time decision-making in complex environments. The study was carried out at a leading robotics research facility, where the team aimed to address the challenges faced by autonomous vehicles in dynamic settings, such as urban areas with unpredictable obstacles. The motivation behind this research stems from the increasing demand for reliable and efficient autonomous transportation solutions, which are crucial for the future of smart cities and sustainable mobility. To achieve their objectives, the researchers employed a combination of machine learning techniques and advanced sensor technologies, allowing the vehicles to better interpret their surroundings and make informed navigation choices. The findings suggest that these enhanced systems could significantly reduce the likelihood of accidents and improve overall traffic flow. As the world moves towards greater automation in transportation, this study represents a critical step in ensuring that autonomous vehicles can safely and effectively navigate the complexities of modern urban landscapes. The implications of this research could pave the way for widespread adoption of autonomous vehicles, ultimately transforming how people and goods are transported in the future.

RESEARCH ARTICLE
Active Caster‐Based Holonomic Mobile Platform for Improving C‐Arm Mobility and Usability

Active Caster‐Based Holonomic Mobile Platform for Improving C‐Arm Mobility and Usability

In May 2026, the Journal of Field Robotics published a significant study examining advancements in autonomous robotic systems. The research, conducted by a team of engineers and scientists, focuses on the integration of artificial intelligence in field robotics, aiming to enhance operational efficiency and adaptability in various environments. The study highlights the application of these technologies in agriculture, disaster response, and environmental monitoring, showcasing their potential to revolutionize traditional practices. The research was motivated by the increasing demand for automation in sectors facing labor shortages and the need for more efficient resource management. By employing advanced machine learning algorithms, the team demonstrated how robots can learn from their surroundings and make real-time decisions, improving their functionality and effectiveness in complex tasks. The findings were presented at a conference held in a leading robotics research facility, where experts gathered to discuss the implications of these innovations. The study not only contributes to the academic discourse on robotics but also offers practical insights for industries looking to implement autonomous solutions. As the field continues to evolve, this research underscores the importance of interdisciplinary collaboration in driving technological advancements that address contemporary challenges.

RESEARCH ARTICLE
Combining the robot operating system with LLMs for natural-language control

Combining the robot operating system with LLMs for natural-language control

In recent decades, robotics researchers have made significant advancements in the development of autonomous robots capable of performing a variety of real-world tasks. These innovations aim to enable robots to operate effectively in diverse environments, including public spaces, homes, and offices. A critical aspect of this progress is the robots' ability to understand and interpret instructions from human users, allowing them to adapt their actions in response to specific needs and situations. This evolution in robotics is driven by the growing demand for intelligent automation solutions that enhance efficiency and user interaction in everyday life.

Robotics
AI benchmark helps robots plan and complete their chores in the real world

AI benchmark helps robots plan and complete their chores in the real world

Microsoft, in collaboration with a team of academics, has developed a new AI benchmark system aimed at enhancing the planning capabilities of robots, which often struggle with multi-step tasks in real-world environments. The initiative addresses the common issue of robots being indecisive and misinterpreting instructions, such as when asked to tidy a messy room. The system seeks to improve the accuracy of robots in executing complex chores by providing clearer guidelines for object handling. The findings of this collaborative effort were published in a paper available on the arXiv preprint server, marking a significant step forward in robotics research.

Robotics
KAIST Humanoid v0.7: High-Speed Locomotion and the "Moonwalk" of Technical Independence

KAIST Humanoid v0.7: High-Speed Locomotion and the "Moonwalk" of Technical Independence

KAIST’s DRCD Lab has introduced an advanced bipedal robot platform that can run at speeds of up to 12 km/h while exhibiting human-like agility. This innovative technology, revealed recently, utilizes proprietary 3K planetary gearboxes combined with hybrid reinforcement learning techniques. The development aims to enhance robotic mobility and adaptability, potentially paving the way for more sophisticated applications in various fields, including robotics research and human-robot interaction. The lab's efforts reflect a growing trend in robotics to create machines that can navigate environments with the same fluidity and responsiveness as humans.

South Korea k-humanoid-alliance KAIST
Path Tracking for Forestry Autonomous Mobile Platforms Based on Improved Snake Optimizer‐Pure Pursuit Algorithm

Path Tracking for Forestry Autonomous Mobile Platforms Based on Improved Snake Optimizer‐Pure Pursuit Algorithm

A recent study published in the Journal of Field Robotics explores advancements in autonomous robotics, highlighting their potential applications in various industries. Conducted by a team of researchers from leading universities, the study was released in early October 2023. The researchers aimed to address the growing demand for efficient and reliable robotic systems in sectors such as agriculture, manufacturing, and logistics. The study details how recent technological innovations, including improved sensor technologies and machine learning algorithms, have enhanced the capabilities of autonomous robots. These advancements enable robots to perform complex tasks with greater precision and adaptability, ultimately increasing productivity and reducing operational costs for businesses. The research team conducted extensive field tests to evaluate the performance of these autonomous systems in real-world scenarios. By analyzing data collected during these tests, the researchers were able to demonstrate the effectiveness of the robots in navigating challenging environments and executing tasks autonomously. The findings underscore the importance of continued investment in robotics research and development, as the integration of autonomous systems is expected to revolutionize traditional workflows and contribute to economic growth. As industries increasingly adopt these technologies, the study serves as a crucial resource for understanding the future landscape of robotics and its implications for various sectors.

RESEARCH ARTICLE
Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

Robot Talk Episode 133 – Creating sociable robot collaborators, with Heather Knight

Claire recently engaged in a conversation with Heather Knight, a prominent figure at Oregon State University, regarding the innovative application of performing arts techniques to the field of robotics. Knight, who leads the CHARISMA Robotics research group, has an impressive academic background, holding a PhD focused on Expressive Motion for Low Degree of Freedom Robots from Carnegie Mellon University, along with both M.S. and B.S. degrees in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology. This dialogue highlights the intersection of creativity and technology, exploring how artistic principles can enhance robotic movement and interaction.

ByteDance builds more than 1,000 robots with long-term goal of embodied intelligence: report

ByteDance builds more than 1,000 robots with long-term goal of embodied intelligence: report

ByteDance has made significant strides in the robotics sector, producing over 1,000 robots in just two and a half years. An exclusive report by LatePost revealed that the company’s robotics research and development team has grown to approximately 150 members. This expansion is part of ByteDance's long-term objective to develop embodied intelligence in robotics. Currently, the company is concentrating on the production of wheeled logistics robots, also known as Autonomous Mobile Robots (AMRs), which are designed to enhance efficiency in various operational environments.

News Feed
Howie Choset Elected AAAS Fellow

Howie Choset Elected AAAS Fellow

Howie Choset, a prominent figure in robotics and the Kavčić-Moura Professor of Computer Science at Carnegie Mellon University, has been elected as a fellow of the American Association for the Advancement of Science (AAAS) for 2024. This prestigious recognition highlights his significant contributions to the field of robotics. The AAAS, known as the world's largest general scientific society and publisher of the Science family of journals, honors individuals who have made notable advancements in various scientific disciplines. Choset's election underscores his impact on the field and reflects the ongoing advancements in robotics research.

Awards Research
Takeo Kanade Among 2024 John Scott Award Recipients

Takeo Kanade Among 2024 John Scott Award Recipients

Takeo Kanade, a distinguished professor of computer science and robotics at Carnegie Mellon University, has been honored with the 2024 John Scott Award, an accolade that celebrates significant contributions to the field of robotics. This prestigious award, established in 1815 by Scottish chemist John Scott to commemorate Benjamin Franklin, recognizes Kanade alongside two other prominent figures in robotics research. The award highlights their groundbreaking work that has significantly advanced the discipline, underscoring the importance of innovation in technology and its impact on society.

Awards
The Missing Infrastructure for AI-Powered Robots

The Missing Infrastructure for AI-Powered Robots

The Breakdown:  RIO lets researchers use the same software across different robots, reducing the need to rebuild code for each new platform. This functionality speeds up robot setup and lets researchers spend more time developing and testing robot behaviors. The system helps accelerate robotics research and real-world deployment. * * * Researchers set up [...] The post The Missing Infrastructure for AI-Powered Robots appeared first on Robotics Institute Carnegie Mellon University.

Research
EleTac: An elephant-inspired soft robotic gripper with a sophisticated sense of touch

EleTac: An elephant-inspired soft robotic gripper with a sophisticated sense of touch

Soft grippers, which are built from flexible materials that can bend and deform, are attracting a lot of attention from robotics researchers worldwide. Unlike conventional robots made from rigid metal or plastic, soft grippers can grasp items more gently while naturally adapting to different shapes. This makes them uniquely suitable for delicate tasks such as handling fruit, baked goods, lab samples and medical supplies.

Robotics
GA Robotics launches three models of UBTECH humanoids for research, commercial, and industrial use in Japan.

GA Robotics launches three models of UBTECH humanoids for research, commercial, and industrial use in Japan.

GA Robotics, the official distributor of UBTECH humanoid robots in Japan, announced the launch of three new models set to be available domestically starting June 30, 2026. The models include the "Walker Tienkung DEX" designed for research and development, the "Walker C1" tailored for commercial services, and the "Cruzr Y1" intended for industrial applications. This initiative aims to enhance technological innovation and support various sectors in Japan by providing advanced robotic solutions.

Can Heterogeneous Robots Share Skills? Collaborative Breakthrough by Peking University, Tsinghua University, and Others in IAIL Framework Published in Science Robotics

Can Heterogeneous Robots Share Skills? Collaborative Breakthrough by Peking University, Tsinghua University, and Others in IAIL Framework Published in Science Robotics

A collaborative research team from leading universities has introduced the IAIL framework, a groundbreaking system that allows diverse robots to autonomously comprehend and perform tasks without the need for prior programming or human input. This innovative framework emphasizes intention alignment over mere action replication, which markedly improves coordination among multiple robots. The development, announced in October 2023, aims to revolutionize the way robots interact and collaborate in various environments, paving the way for more efficient and effective robotic applications across multiple sectors.

Heterogeneous Robots Robot Collaboration AI Frameworks Robotics Research
Empowering STEM Education and Research in the Americas: Elephant Robotics Introduces Integrated Educational Robotics Solutions

Empowering STEM Education and Research in the Americas: Elephant Robotics Introduces Integrated Educational Robotics Solutions

In recent years, STEM education has seen significant growth, fueled by a rising demand for practical engineering skills, artificial intelligence literacy, and interdisciplinary innovation. Despite this progress, schools, universities, and research laboratories continue to face challenges in creating effective robotics environments. Educators often struggle to integrate various components such as robotic arms, mobile platforms, sensors, and open-source software from multiple sources, complicating the development of comprehensive robotics programs. This ongoing issue highlights the need for streamlined solutions that can enhance the teaching and learning of robotics in educational settings.

Design Research Robotics AI education americas automation news
Boxfish Robotics Introduces Reliable and Easy-to-Use Hovering AUV for Marine Research

Boxfish Robotics Introduces Reliable and Easy-to-Use Hovering AUV for Marine Research

Boxfish Robotics has unveiled its first generation of fully autonomous tetherless hovering Boxfish AUV (Autonomous Underwater Vehicle), marking a significant advancement in underwater exploration technology. This innovative vehicle, which boasts state-of-the-art autonomy features, aims to redefine standards in the field. The launch took place in October 2023, showcasing the company's commitment to pushing the boundaries of underwater robotics. By eliminating the need for tethering, the Boxfish AUV enhances operational flexibility and efficiency, making it an invaluable tool for researchers and marine explorers. The development of this technology reflects Boxfish Robotics' dedication to advancing marine exploration capabilities and addressing the growing demand for sophisticated underwater vehicles.

boxfish robotics hovering auv marine research
Ace Robotics Secures Hundreds of Millions in Financing for Embodied AI Development

Ace Robotics Secures Hundreds of Millions in Financing for Embodied AI Development

Chinese robotics company Ace has announced the debut of its embodied AI technology. This development marks a significant step forward in the integration of artificial intelligence within robotics, showcasing Ace's commitment to innovation in this field. The introduction of embodied AI is crucial as it enhances the capabilities of robots, allowing them to interact more effectively with their environments. This advancement could lead to broader applications across various sectors, positioning Ace as a key player in the robotics industry. Looking ahead, Ace has secured several hundred million US dollars in financing in the first half of 2026, which will likely support further research and development in embodied AI. No further timeline was disclosed at the time of publication.

Artificial Intelligence News Robotics Ace Robotics China embodied AI
Faraday Future's FFAI Accelerates Robotics Expansion and Exceeds Shipment Goals at Automate 2026

Faraday Future's FFAI Accelerates Robotics Expansion and Exceeds Shipment Goals at Automate 2026

Faraday Future's AI subsidiary, FFAI, announced its accelerated expansion into commercial robotics at Automate 2026 in Chicago. The company showcased its 'one brain, multiple forms' robotics platform and revealed that June robot shipments are expected to exceed 100 units, bringing total first-half deliveries to over 220 units, surpassing its initial target ahead of schedule. This milestone is significant as it marks FFAI's transition from an education-focused robotics business to industrial automation, targeting commercial deployments across manufacturing, logistics, and research. The company presented a range of robotics products, including the All-New Futurist humanoid robot and the FF Faber mobile manipulator series, highlighting its commitment to integrating advanced AI technologies into various applications. Looking ahead, FFAI outlined a broader strategy focused on an open embodied AI ecosystem, which includes its EAI Brain software platform and an EAI Data Factory for operational data collection. No further timeline was disclosed at the time of publication.

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MassRobotics Launches Sponsorships for RoboBoston 2026 and AI Career Fair Announcement

MassRobotics Launches Sponsorships for RoboBoston 2026 and AI Career Fair Announcement

MassRobotics has revealed plans for RoboBoston 2026, its ninth annual Robot Block Party, scheduled for September 26, alongside a Robotics & AI Technical Career Fair on September 25. The event will take place at Boston’s Seaport and is expected to host over 50 robotics companies, universities, and student teams, showcasing interactive exhibits and demonstrations. The significance of RoboBoston lies in its role in highlighting the region’s robotics ecosystem, uniting industry, academia, and students. Attendees will experience a variety of activities, including a Sidewalk Robot Parade and a ribbon-cutting ceremony, while exhibitors will present new technologies and research projects. MassRobotics has opened sponsorship opportunities, inviting organizations to support the event and promote STEM education and robotics innovation. Looking ahead, the Robotics & AI Technical Career Fair on September 25 aims to connect employers with technical talent in the robotics and AI sectors. Previous events have drawn over 800 job seekers, making it a valuable opportunity for both companies and candidates. No further timeline was disclosed at the time of publication.

Business Features ai careers artificial intelligence automation boston
Virginia Tech researchers control soft robotics with ‘AI’s cousin’: ‘Reservoir computing’

Virginia Tech researchers control soft robotics with ‘AI’s cousin’: ‘Reservoir computing’

Researchers at Virginia Tech are advancing the field of soft robotics, which utilizes flexible, muscle-like materials to create machines capable of bending and stretching in ways that surpass traditional rigid robots. This innovative technology enables applications such as harvesting ripe tomatoes and navigating complex search-and-rescue environments. However, the inherent flexibility of these robots presents significant challenges in control and precision. The team at Virginia Tech is focused on addressing these control difficulties to enhance the functionality and reliability of soft robotics, aiming to unlock their full potential in various practical applications.

Computing Features Robotics Science agricultural robotics ai robotics
DGIST Professor Proposes 'Sustainability Robotics' as a New Academic Field

DGIST Professor Proposes 'Sustainability Robotics' as a New Academic Field

Professor Sukho Song from DGIST's Department of Robotics and Mechatronics Engineering has introduced the concept of 'Sustainability Robotics.' This new academic field aims to assess robots based on their technical performance as well as their impact on environmental, social, and economic sustainability. The significance of this initiative lies in its holistic approach to robotics, emphasizing the importance of sustainable practices in technology development. By integrating sustainability into the evaluation of robotic systems, the field seeks to foster innovations that contribute positively to society and the environment. Looking ahead, the establishment of 'Sustainability Robotics' could influence future research and development priorities in the robotics sector. No further timeline was disclosed at the time of publication.

Robotics
Multimodal Robotics Inspired by Biological Systems Explored in Science Robotics

Multimodal Robotics Inspired by Biological Systems Explored in Science Robotics

The latest issue of Science Robotics, Volume 11, Issue 116, published in July 2026, delves into the advancements in bioinspired multimodal robotics. This research highlights how biological systems can inform the design and functionality of robotic systems, leading to more versatile and adaptive technologies. The significance of this research lies in its potential to enhance robotic capabilities by mimicking the diverse modalities found in nature. By studying biological organisms, engineers can develop robots that are not only more efficient but also capable of performing complex tasks across various environments, which is crucial for applications in fields such as search and rescue, agriculture, and environmental monitoring. Looking ahead, the ongoing exploration of bioinspired designs in robotics will likely lead to innovative solutions that address current limitations in robotic performance. No further timeline was disclosed at the time of publication.

Review
Yushu's Transformation: From Hardware to Intelligent Robotics with G1 Surgery

Yushu's Transformation: From Hardware to Intelligent Robotics with G1 Surgery

Yushu Technology has evolved from a hardware company into a model-driven enterprise, achieving significant milestones in robotics. On July 9, 2026, a surgeon at the University of California, San Diego, successfully performed the world's first live animal gallbladder removal using the Yushu G1 humanoid robot, showcasing its advanced capabilities. This operation, which involved a real pig and took under two hours, highlights the robot's precision and understanding of biological tissues. The transformation is underscored by Yushu's rapid registration on the Science and Technology Innovation Board, taking just 104 days, the fastest in its history. The G1 robot has previously demonstrated its ability to perform tasks like screwing, pouring, and sorting, but the surgical procedure required a higher level of precision and real-time feedback. Yushu defines its embodied intelligence model as a technology enabling robots to achieve high stability and complex motion control, akin to a robot's small brain. Investors are taking notice, with the embodied intelligence sector seeing a 4.2% increase from July 10 to 17, and Yushu-related stocks rising by an average of 7.8%. The company plans to allocate 2.022 billion for intelligent robot model research, part of a total fundraising of 42.02 billion. Future developments include the UnifoLM-WMA-0 model, which predicts actions and world states, marking a significant advancement in robotics technology.

Humanoid Robots Robotic Surgery AI Robotics Innovation
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Robotics needs a service framework.

RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.