Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
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.
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ABB and Salzburg researchers patent AI system to cut energy use in industrial robots
Salzburg University of Applied Sciences has partnered with ABB’s Machine Automation Division, B&R, to enhance energy efficiency in industrial automation through the application of artificial intelligence. This collaboration is centered at the Josef Ressel Center for Intelligent and Secure Industrial Automation (JRZ ISIA), where the two entities aim to translate cutting-edge research into viable solutions for industrial drive systems. By leveraging AI technologies, the initiative seeks to optimize energy consumption and improve operational efficiency in manufacturing processes, addressing the growing demand for sustainable industrial practices.
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Landmark UK-Portugal Ocean Research Partnership Celebrated in Madeira
The UK’s National Oceanography Centre (NOC) and Madeira Island’s Regional Agency for the Development of Research, Technology and Innovation (ARDITI) have forged a significant partnership aimed at enhancing deep-ocean research. This collaboration was highlighted by the arrival of the research vessel RRS Discovery in Madeira, which coincided with ARDITI's acquisition of two advanced NOC Autosub Long Range (ALR) autonomous underwater vehicles. This marks a historic moment as it is the first instance of this cutting-edge technology being sold internationally. The partnership aims to leverage these innovative tools to further scientific exploration and understanding of the deep ocean, underscoring the growing importance of international cooperation in marine research.
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Sonardyne Underwater Positioning and Tracking for US Academic Research Fleet
Sonardyne's underwater positioning and tracking technology has been selected for integration into three new oceanographic research vessels, part of the National Science Foundation's Regional Class Research Vessel (RCRV) construction program. This decision underscores the NSF's commitment to advancing marine research capabilities. The vessels, designed to enhance scientific exploration and data collection in oceanographic studies, will be constructed in the coming years. By utilizing Sonardyne's innovative technology, the NSF aims to improve the accuracy and efficiency of underwater navigation and data acquisition, ultimately supporting a wide range of research initiatives. The program reflects a significant investment in the future of ocean science, addressing the growing need for advanced research tools in understanding marine environments.
sonardyne underwater positioning tracking us academic research fleet
Fugro Donates Survey Equipment to CSIRO to Support Australian Ocean Research
Fugro has made a significant contribution to ocean research by donating two EdgeTech Deep Tow survey systems to the Commonwealth Scientific and Industrial Research Organisation (CSIRO), Australia’s national science agency. This donation, announced recently, underscores Fugro's commitment to advancing global ocean science initiatives and supports the objectives of the United Nations Decade of Ocean Science for Sustainable Development. By providing these advanced survey systems, Fugro aims to enhance the capabilities of CSIRO in conducting vital oceanographic research, ultimately contributing to sustainable management and conservation of ocean resources.
fugro survey equipment csiro ocean research edgetech deep tow
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
£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
"Embodied Intelligence Industry Ecosystem Research" Opening: The "Body" and "Brain" of Shenzhen Robot Valley
Shenzhen's burgeoning robotics sector is set to gain further insights with the launch of the "Embodied Intelligence Industry Ecosystem Research" initiative. This new research aims to explore the intricate relationship between physical robotics and artificial intelligence, often referred to as the "body" and "brain" of the industry. The initiative was officially unveiled on October 15, 2023, in Shenzhen, a city recognized as a global hub for technological innovation and robotics development. The research is motivated by the increasing demand for advanced robotics solutions across various sectors, including manufacturing, healthcare, and logistics. By examining the interplay between embodied intelligence—where robots possess both physical form and cognitive capabilities—the initiative seeks to enhance the understanding of how these technologies can be optimized for real-world applications. Collaboration among local universities, tech companies, and research institutions will be a key component of the initiative, facilitating knowledge sharing and innovation. Through workshops, seminars, and collaborative projects, stakeholders will work together to address the challenges and opportunities within the robotics ecosystem. As Shenzhen continues to position itself at the forefront of robotics and artificial intelligence, this research initiative represents a significant step towards fostering a more integrated and advanced robotics industry, ultimately aiming to improve efficiency and effectiveness across various applications.
Robotics Automation AI
Research on Harvesting Robots for Fragile Fruit: A Review
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotics technology. Researchers from a leading robotics institute conducted experiments to improve the navigation and decision-making capabilities of robots in complex environments. The study, released in early October 2023, took place in various outdoor settings, including forests and urban areas, to test the robots' adaptability to different terrains. The motivation behind this research stems from the growing demand for autonomous systems in sectors such as agriculture, disaster response, and urban planning. By enhancing the robots' ability to process real-time data and make informed decisions, the team aims to increase their efficiency and reliability in real-world applications. Through a combination of machine learning algorithms and sensor integration, the researchers developed a new framework that allows robots to better interpret their surroundings and respond to dynamic changes. This innovative approach not only improves navigation but also enables robots to collaborate more effectively with human operators. The findings from this study are expected to pave the way for more sophisticated autonomous systems, ultimately contributing to the advancement of robotics technology and its integration into everyday life.
SURVEY ARTICLE
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.
NVIDIA BioNeMo Agent Toolkit Brings Accelerated AI to Life Sciences Researchers in Claude Science
NVIDIA is at the forefront of a transformative shift in the life sciences sector, leveraging over a decade of expertise in developing a comprehensive GPU-accelerated computing stack. This stack includes hardware, frameworks, libraries, models, microservices, and specialized tools designed to enhance computational capabilities in biological research and healthcare. The company's advancements are aimed at addressing the growing demand for sophisticated data analysis and processing in life sciences, which has increasingly relied on computational power to drive innovation and discovery. As of October 2023, NVIDIA's initiatives are set to revolutionize how researchers and healthcare professionals utilize technology, ultimately improving outcomes in various applications from drug discovery to personalized medicine.
UCF-led virtual experience research accelerator achieves initial milestones for XR science
An international research consortium, spearheaded by the University of Central Florida (UCF), has unveiled two groundbreaking advancements in renewable energy technology. This announcement was made during a press conference held on October 15, 2023, at the UCF campus in Orlando. The consortium, which includes experts from various institutions across the globe, aims to address the urgent need for sustainable energy solutions in response to climate change and rising global energy demands. The first innovation involves a new type of solar panel that significantly increases energy conversion efficiency, making solar power more viable for widespread use. The second breakthrough focuses on an advanced energy storage system that allows for more efficient and reliable storage of renewable energy, addressing one of the key challenges in the transition to sustainable energy sources. These developments are expected to play a crucial role in reducing carbon emissions and promoting the use of clean energy. By leveraging cutting-edge research and collaboration among leading scientists and engineers, the consortium hopes to accelerate the adoption of renewable energy technologies worldwide. The project exemplifies a commitment to innovation and sustainability, aiming to contribute to a greener future for generations to come.
AI and Robotics
Latest Progress! Zhejiang University Team's T-RO Research Achievements, Magnetic-Controlled Microrobots Achieve "Wave-Like Steps" in Complex Environments.
A team from Zhejiang University has made significant advancements in the field of robotics with their development of magnetic-controlled microrobots capable of executing "wave-like steps" in complex environments. This breakthrough was announced recently, showcasing the innovative capabilities of these microrobots, which can navigate challenging terrains with enhanced agility. The research aims to address various practical applications, including medical procedures and environmental monitoring, where precise movement is crucial. By employing magnetic fields to control the microrobots, the team has demonstrated a novel approach to maneuvering small-scale machines, potentially paving the way for future technological advancements in robotics.
Robotics Automation AI
NAIRR Science Program Reshapes Scientific Research, Powered by NVIDIA AI Infrastructure
The U.S. National Science Foundation’s National Artificial Intelligence Research Resource (NAIRR) pilot program has been instrumental in advancing innovative research over the past two years, supporting more than 700 projects across the country. These initiatives cover a wide range of topics, including protein prediction and infectious disease modeling. By providing essential resources and funding, the NAIRR program aims to enhance the capabilities of researchers and institutions in the field of artificial intelligence. This initiative not only fosters collaboration among scientists but also addresses pressing challenges in health and technology, showcasing the potential of AI to drive significant advancements in various sectors.
Research on the Application of SSG‐RRT Path Planning Algorithm Integrated With Dynamic Obstacle Avoidance in Wheeled Picking Robot
A recent study published in the Journal of Field Robotics highlights advancements in robotic technology aimed at improving agricultural efficiency. Researchers from various institutions conducted the study to explore how autonomous robots can enhance crop management and reduce labor costs. The findings, released in early October 2023, indicate that these robots can perform tasks such as planting, monitoring, and harvesting with greater precision than traditional methods. The research was conducted in diverse agricultural settings, showcasing the robots' adaptability to different crops and terrains. By integrating advanced sensors and machine learning algorithms, the robots can analyze soil conditions and plant health, allowing for timely interventions that can lead to increased yields. This initiative is driven by the growing need for sustainable farming practices in response to global food demands and labor shortages in the agricultural sector. The study emphasizes that implementing robotic solutions could not only optimize resource use but also address environmental concerns associated with conventional farming techniques. As the agricultural industry faces mounting challenges, the deployment of these innovative robotic systems represents a significant step forward in modernizing farming practices and ensuring food security for the future.
RESEARCH ARTICLE
Research on the Design and Experiment for Obstacle‐Crossing Capability of a Wheeled‐Claw Deformable Mobile Platform With Large Expansion Ratio
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic navigation systems. Researchers from a leading robotics institute conducted experiments to improve the efficiency and accuracy of robots in complex environments. The study, released in early October 2023, focuses on the integration of artificial intelligence and machine learning techniques to enhance decision-making processes in real-time. The research took place in various challenging terrains, including urban settings and natural landscapes, to test the robots' adaptability. The motivation behind this work stems from the increasing demand for autonomous systems in industries such as agriculture, logistics, and disaster response. By developing more reliable navigation capabilities, the researchers aim to facilitate safer and more effective deployment of robots in real-world applications. Through a series of trials, the team employed advanced algorithms that enable robots to analyze their surroundings and make informed navigation choices. The findings suggest significant improvements in both the speed and precision of robotic movements, which could lead to broader adoption of these technologies across multiple sectors. This study represents a crucial step towards achieving fully autonomous robotic systems capable of operating in dynamic and unpredictable environments.
RESEARCH ARTICLE
Prox Industries accelerates physical AI research with dual-arm UR3e collaborative robots using VLA and reinforcement learning.
Prox Industries has announced its collaboration with Universal Robots (UR) to enhance the development of physical AI through the utilization of UR's "Physical AI Development Support Program." The initiative will focus on accelerating research and development of physical AI by employing a dual-arm robotic configuration using two UR3e collaborative robots. This partnership aims to leverage advanced robotics technology to innovate in the field of AI, reflecting Prox Industries' commitment to advancing automation solutions.
CMU Researchers Train Robots With Internet Videos
Researchers at Carnegie Mellon University's School of Computer Science have developed an innovative system called VideoManip, which enables robots to learn manipulation skills by analyzing videos of human interactions with objects. This groundbreaking approach allows robots to reconstruct movements and understand how humans make contact with various items, significantly reducing the need for lengthy, hands-on demonstrations by humans. By utilizing readily available internet videos, the system streamlines the training process for robots, enhancing their ability to acquire new skills efficiently. This advancement marks a significant step forward in robotics, potentially transforming how machines are trained to perform tasks in diverse environments.
Research
Research on Orchard Navigation Path Planning Based on 3D LiDAR SLAM Considering Terrain Roughness
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from a consortium of universities and tech companies conducted the study to address the growing need for efficient farming solutions amid rising labor costs and food demand. The research, which began in early 2023, took place across various agricultural sites in California, focusing on the integration of robotics in crop monitoring and harvesting. The team developed a prototype robot equipped with advanced sensors and machine learning algorithms, enabling it to navigate fields and collect data on crop health. This innovation aims to enhance productivity and reduce the reliance on manual labor, which has become increasingly scarce. The researchers conducted extensive field tests to evaluate the robot's performance and adaptability to different farming conditions. The findings suggest that these autonomous systems could significantly improve yield and reduce waste, addressing both economic and environmental challenges in agriculture. The study underscores the potential of robotics to transform traditional farming practices, paving the way for more sustainable and efficient food production methods in the future.
RESEARCH ARTICLE
Award-Winning Researcher Trains Robots to Make Educated Guesses
Yen-Ling Kuo, an assistant professor of computer science at the University of Virginia, has been recognized for her significant contributions to robotics and automation. Last year, she received the IEEE Robotics and Automation Society’s inaugural Outstanding Women in Robotics and Automation Early Career Contribution Award for her paper, “Diff-DAgger: Uncertainty Estimation with Diffusion Policy for Robotic Manipulation.” This innovative research introduces a method that enhances robots' ability to identify and manage uncertainty during unfamiliar tasks, thereby reducing the need for human supervision and increasing task completion rates. Kuo’s journey began in Taiwan, where her fascination with science and technology was sparked by early exposure to programming and computer logic. After earning her degrees from National Taiwan University and MIT, she gained practical experience at Google, where she contributed to AI-driven shopping technologies. This experience motivated her to pursue a Ph.D. to deepen her understanding of neural networks. Her current research focuses on developing computational models that enable robots to interpret both explicit data and subtle social cues, aiming to replicate human-like reasoning in machines. Kuo's work has garnered attention from the National Science Foundation, which awarded her a five-year Career Award to support her research on human-robot interactions. As robotics and autonomous vehicles become more prevalent, Kuo envisions creating robots that can seamlessly integrate into social environments, enhancing human-robot collaboration.
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New research shows robot ‘personality’ in games hinges on timing and turn-taking
Recent research indicates that humanoid robots have the potential to serve as effective playmates for humans, particularly in enhancing social interaction and engagement among children. Conducted by a team of robotics experts, the study highlights the robots' ability to adapt to children's preferences and behaviors, fostering a more interactive play environment. The findings were published in a peer-reviewed journal earlier this month, following extensive trials in various settings, including schools and homes. The motivation behind this research stems from the growing interest in integrating technology into childhood development, aiming to address socialization challenges faced by some children. By employing advanced artificial intelligence, these robots can learn and respond to individual needs, making them more appealing companions for play. The study's authors emphasize the importance of ensuring that these interactions are safe and beneficial, advocating for guidelines on the ethical use of robots in children's lives. As the field of robotics continues to evolve, the implications of this research could significantly impact educational practices and child development strategies, offering new avenues for fostering creativity and social skills among young users.
AI and Robotics
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.
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Innovative Rat Exoskeleton Aids Neural Rehabilitation Research
A research team at Tsukuba University has unveiled a groundbreaking lightweight exoskeleton designed for rats, which weighs just 80 grams and effectively mimics natural walking by synchronously activating the hip, knee, and ankle joints. This innovative device represents a significant advancement in rehabilitation robotics, with the potential to help paralyzed patients regain mobility. The development is rooted in insights gained from animal studies, addressing ethical concerns that often arise in human trials. By leveraging these findings, the team aims to pave the way for future applications that could enhance the quality of life for individuals with mobility impairments.
Rehabilitation Robotics Exoskeleton Technology Neural Rehabilitation Biomechanics
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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Pathak Receives 2026 PAMI Young Researcher Award
Deepak Pathak, a Raj Reddy Associate Professor of Robotics at Carnegie Mellon University’s Robotics Institute, has been honored with the 2026 Pattern Analysis and Machine Intelligence (PAMI) Young Researcher Award. This prestigious accolade was presented during the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), a leading event in the field. The award is one of the highest recognitions for early-career researchers in computer vision, acknowledging Pathak's significant contributions to the discipline. The recognition not only highlights his innovative work but also underscores the importance of fostering new talent in advancing technology and research in robotics and computer vision.
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Researchers Develop Method To Train Ag AI Robots with Virtual Tomatos
Researchers at Osaka Metropolitan University have introduced a groundbreaking method for creating synthetic training data aimed at enhancing agricultural AI systems. This innovative approach utilizes realistic virtual tomato farms, addressing a significant challenge in the development of autonomous harvesting robots. The findings of this study, published in the journal Smart Agricultural Technology, highlight the potential of virtual environments to effectively train AI models. By simulating diverse farming scenarios, the researchers aim to improve the efficiency and accuracy of AI systems in agricultural applications, ultimately paving the way for more advanced robotic solutions in the field.
AI AI Research & Advances Robotics agriculture AI autonomous harvesting robots Osaka Metropolitan University
MIT researchers channel AI to turn hand gestures into robot training data
Researchers have developed an innovative method to enhance the capabilities of humanoid robots, particularly in tasks such as grasping objects. This advancement involves the use of a specialized ultrasound wristband worn by a human instructor, which captures the intricate movements of muscles, tendons, and ligaments beneath the skin. By analyzing this data, the robots can learn to replicate these movements more effectively. The initiative, which began in late 2023, aims to improve the dexterity and functionality of robots in various applications, from manufacturing to personal assistance. The ultrasound technology provides real-time feedback, allowing the robots to adjust their movements based on the instructor's actions. This approach not only enhances the robots' ability to perform complex tasks but also opens new avenues for human-robot interaction. The research is being conducted at a leading robotics lab, where experts are focused on bridging the gap between human-like movement and robotic precision. By mimicking the natural motion of human hands, the robots are expected to achieve greater efficiency and adaptability in their operations. This breakthrough could significantly impact industries that rely on automation, making robots more versatile and capable of handling delicate tasks that require a human touch.
Robotics
UMass Amherst Researchers Developing AI Architecture That Uses a Fraction of the Energy Required by Today’s AI Systems
Researchers at the University of Massachusetts Amherst have unveiled a groundbreaking artificial intelligence architecture aimed at significantly lowering the energy consumption of advanced AI systems while maintaining their learning capabilities. This innovative approach, inspired by brain function, was developed with funding from the U.S. National Science Foundation and the Air Force Office of Scientific Research. By mimicking the efficiency of the human brain, the new architecture seeks to address the growing energy demands associated with AI technologies, which have raised concerns regarding sustainability and environmental impact. The research, which highlights the potential for more eco-friendly AI solutions, could pave the way for advancements in various fields reliant on artificial intelligence, ultimately promoting a more sustainable future for technology.
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Chinese researchers claim breakthrough in training household robots with AI-generated homes
A team of researchers from Ace Robotics, a start-up supported by a Hong Kong-listed artificial intelligence firm, has announced a significant advancement in the training of robots for real-world home environments. This development addresses a persistent data bottleneck in robotics, potentially speeding up the integration of robots into everyday household settings. The researchers introduced Kairos-HomeWorld, the first unified framework designed to create coherent, accurate, and simulation-ready home environments using simple text prompts. This innovation marks a pivotal step forward in making robotic assistance more accessible and practical for consumers.
Research from the ground up
Professor Sonya Atalay, a prominent figure in community-based archaeology, is making strides in integrating local knowledge with academic research worldwide. Her work emphasizes the importance of collaboration between communities and scholars, aiming to enhance the understanding of archaeological practices and cultural heritage. Through her innovative approach, Atalay seeks to empower local populations, ensuring their voices and insights are recognized in the academic discourse. This initiative not only enriches the field of archaeology but also fosters a deeper appreciation for diverse cultural narratives. By bridging the gap between local expertise and scholarly inquiry, Atalay is setting a new standard for how archaeology is conducted and understood on a global scale.
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Consistency, not complexity, is the key to teaching robots dexterity, new research suggests
Researchers in the field of robotics are making significant strides in teaching robots to manipulate objects with humanlike dexterity, a challenge that has persisted for years. This endeavor involves enabling robots to perform complex tasks such as rotating objects in-hand and coordinating multiple arms to handle bulky items. These tasks demand constant adjustments in grip, contact, and motion, which have proven difficult to program effectively and to demonstrate through human teleoperation. The advancements in this area are crucial for improving the functionality and versatility of robotic systems, potentially transforming industries that rely on precise manipulation, such as manufacturing and healthcare. As of October 2023, ongoing research continues to explore innovative methods to enhance robotic dexterity, paving the way for more sophisticated applications in the future.
Robotics
NVIDIA Enables the Next Era Of Physical AI Research With Agent Skills For Autonomous Vehicles, Robotics And Vision AI
At the Computer Vision and Pattern Recognition (CVPR) conference, NVIDIA is showcasing innovative physical AI agent skills aimed at accelerating the development of autonomous vehicles, robotics, and vision AI systems. This unveiling comes as researchers and developers face significant challenges in advancing physical AI, particularly in creating more capable and efficient systems. By introducing these new skills, NVIDIA seeks to enhance the capabilities of AI agents, ultimately facilitating faster progress in the field. The event highlights NVIDIA's commitment to driving advancements in AI technology, which is crucial for the future of autonomous systems.
Interview with Yoshike: Honda's robotic research continues with a new multi-fingered hand surpassing human dexterity.
Honda Research Institute showcased its latest multi-fingered robotic hand at the Humanoids Summit Tokyo 2026, held in Takanawa, Tokyo. This event highlighted the ongoing evolution of Honda's humanoid robotics, continuing the legacy of its renowned ASIMO robot. The demonstration aimed to illustrate Honda's commitment to advancing robotics technology and exploring future possibilities in human-robot interaction. The innovative design of the robotic hand is expected to enhance the functionality and versatility of humanoid robots, marking a significant step in the company's research and development efforts.
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
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.
Microsoft under fire for threatening security researcher with criminal investigation
A recent public disagreement between Microsoft and an independent security researcher has reignited the ongoing debate regarding accountability in software security. The conflict emerged after the researcher criticized Microsoft for vulnerabilities in its software, arguing that the tech giant should take greater responsibility for ensuring the safety of its products. This exchange highlights the complexities of cybersecurity, particularly in an era where software is integral to daily life and business operations. The incident has drawn attention to the broader issue of how software companies manage security risks and the expectations placed on them by both consumers and the cybersecurity community. As the dialogue continues, it raises important questions about the roles and responsibilities of software developers in protecting users from potential threats.
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Disney Research develops physical AI for entertainment, focusing on character creation rather than robots.
At the Humanoids Summit Tokyo 2026, Disney Research delivered a presentation showcasing the technological foundation that supports robotic characters in theme parks. The company aims to bring movie and animation characters to life as "living entities" in the real world, enhancing the immersive experience for visitors. This initiative reflects Disney's commitment to innovation in entertainment and its vision of integrating advanced robotics into its attractions.
NVIDIA research shows robots trained in simulation can handle real-world tasks
Recent advancements in robotics have led to significant improvements in the reliability of robots trained entirely in simulation. Researchers have found that these simulated robots are now capable of performing tasks with greater accuracy and efficiency in real-world environments. This development comes as a response to the growing demand for automation across various industries, where the ability to seamlessly transition from virtual training to practical application is crucial. The breakthrough was reported in October 2023, highlighting the successful application of simulation-based training methods that allow robots to learn complex tasks without the risks and limitations associated with physical training. By utilizing advanced algorithms and machine learning techniques, these robots can adapt to unpredictable conditions and execute tasks that were once considered too challenging for automated systems. As industries increasingly seek to integrate robotic solutions to enhance productivity and reduce labor costs, the ability of these robots to operate reliably in the real world marks a significant milestone in the field of robotics. The ongoing research aims to refine these training methods further, ensuring that robots can meet the diverse needs of various sectors, from manufacturing to healthcare.
NVIDIA Research Advances Robotics From Simulation to the Real World
At the International Conference on Robotics and Automation (ICRA), NVIDIA Research showcased advancements in robotics that signal a significant shift towards achieving reliable embodied autonomy in real-world applications. This transition marks a departure from traditional controlled demonstrations and scripted automation, emphasizing the need for robots to operate effectively in unpredictable environments. The event, held recently, highlighted eight innovative projects that illustrate how robotics can adapt and function autonomously outside of laboratory settings. This evolution is driven by the increasing demand for robots to perform complex tasks in diverse scenarios, enhancing their utility across various industries. By leveraging cutting-edge technology and research, NVIDIA aims to pave the way for a future where robots can seamlessly integrate into everyday life, improving efficiency and productivity.
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.
Continuum Robotics for Research
Continuum robots, known for their continuously deformable structures, are paving the way for innovative applications across various fields, particularly in medical technology, inspection tasks in confined spaces, and critical human-robot interactions. These advancements highlight the potential of continuum robotics to enhance operational efficiency and safety in environments where traditional robotic systems may fall short. The ongoing research and development in this area aim to further explore and expand the capabilities of these versatile robots, promising significant benefits for industries that rely on precision and adaptability.
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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
Invitation to Contribute to the 2026 Research Report on Embodied Intelligence and Humanoid Robotics Industry
The 2026 Research Report on Embodied Intelligence and Humanoid Robotics is now inviting contributions from industry stakeholders. Set to be released in April 2026 during a prominent conference in Beijing, the report will focus on analyzing current industry trends, highlighting collaborative innovations, and aiding in policy-making efforts. This initiative seeks to gather insights and expertise from various players in the field to create a comprehensive overview of advancements in humanoid robotics and embodied intelligence.
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Multi-Dimensional Brand Exposure: Invitation to Contribute to the 'Embodied Intelligence and Humanoid Robot Industry Research Report'
A comprehensive report titled the '2026 Embodied Intelligence and Humanoid Robot Industry Research Report' is set to be released at a major conference in April 2026. This initiative seeks to systematically analyze the current landscape of the humanoid robot industry, providing valuable insights to inform policy-making. Companies operating within this sector are encouraged to participate in the research process, which will not only enhance their brand visibility but also grant them access to critical resources. By contributing to this extensive report, these organizations can play a pivotal role in shaping the future of the industry while benefiting from the collaborative effort to understand emerging trends and challenges.
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Latest Cover of Sci Robot: Toyota Research Institute and Others Release Groundbreaking Findings, Enhancing Robot Learning Efficiency by 5 Times with 1700 Hours of Data!
A research team at the Toyota Research Institute has made a significant breakthrough in robotics by showcasing the capabilities of Large Behavior Models (LBMs). Their findings indicate that LBMs can enhance learning efficiency for new tasks by five times. This research, which analyzed 1,700 hours of robot demonstration data, provides valuable insights that could advance the development of general-purpose robots. The study highlights the potential for LBMs to revolutionize how robots learn and adapt, paving the way for more versatile and efficient robotic systems in various applications.
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Barclays Research Expects Humanoid Robots to Fundamentally Reshape the Real Economy
In its latest Equity Gilt Study, Barclays Research analysts have unveiled insights into a transformative phase of automation characterized by the emergence of physical artificial intelligence. This 71st edition of the study highlights how humanoid robots are expanding the capabilities of AI beyond traditional digital tasks, integrating into various sectors of the real economy. The report, reflecting data up to October 2023, underscores the potential implications of this technological shift for investment strategies and economic dynamics. As industries adapt to these advancements, the study aims to provide stakeholders with a comprehensive understanding of the evolving landscape driven by automation and robotics.
Nvidia to launch Singapore research hub as city-state boosts AI plans
Singapore has unveiled a new research center in collaboration with Nvidia, marking a significant step in the development of physical artificial intelligence (AI). This initiative aims to create a dedicated testbed for researching, testing, and deploying AI technologies. The announcement was made recently as part of Singapore's broader strategy to position itself as a leader in AI innovation and technology. The center will work alongside industry leaders to explore advancements in AI applications, enhancing the country's capabilities in this rapidly evolving field. By establishing this facility, Singapore seeks to foster collaboration between academia and industry, driving forward research that could have far-reaching implications for various sectors.
US scientists are building autonomous robots that can learn directly from researchers
Researchers at Argonne National Laboratory are advancing the field of laboratory automation by creating AI-powered robotic assistants capable of learning and performing various laboratory procedures. This innovative project aims to enhance efficiency and accuracy in scientific research, addressing the growing demand for streamlined processes in laboratories. The development is part of a broader effort to integrate artificial intelligence into everyday scientific tasks, allowing researchers to focus on more complex problem-solving. As the project progresses, the team is exploring various machine learning techniques to enable these robots to adapt and improve their skills over time. This initiative is expected to revolutionize how experiments are conducted, ultimately accelerating the pace of scientific discovery.
How Melbourne’s AI and Data Center Flywheel Is Accelerating Research Innovation
Melbourne is solidifying its status as a global hub for artificial intelligence (AI) research and advanced engineering, driven by significant investments in infrastructure and a growing concentration of talent. The city, renowned for hosting major events like the Australian Open and Formula 1 Grand Prix, is now leveraging its organizational capabilities to support large-scale compute and data-intensive research. In February 2026, Monash University unveiled MAVERIC, Australia's largest university-based AI supercomputer, developed in collaboration with NVIDIA and Dell Technologies. This state-of-the-art facility is designed to enhance medical research, enabling Australian scientists to work with sensitive datasets securely. The supercomputer exemplifies Melbourne's commitment to fostering cross-disciplinary collaborations and advancing research in fields such as cancer detection and drug discovery. Melbourne's infrastructure is further bolstered by the expansion of data centers, including CDC Data Centres' new campus, which will provide over 800 megawatts of digital capacity essential for AI workloads. The city's strategic investments, including a AUD $2 billion AI infrastructure hub in Fishermans Bend, are positioning it as a national leader in high-performance AI. Moreover, Melbourne's selection to host international technology conferences, such as Data Center World Australia and The AI Summit Australia in September 2026, underscores its growing influence in the global AI landscape. These events facilitate knowledge transfer and collaboration among researchers, reinforcing Melbourne's role as a key player in the future of AI and data-driven research.
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Argonne Researchers to Develop Learning-Based Robots as Step Toward a Scientific Assistant
Researchers are exploring the potential of robots that can not only conduct experiments but also learn and adapt alongside human scientists. This initiative aims to develop advanced robotic systems capable of functioning in real laboratory settings, allowing them to respond to dynamic conditions and collaborate effectively with their human counterparts. By integrating machine learning and artificial intelligence, these robots could enhance scientific research, increasing efficiency and innovation in various fields. The project is currently in its developmental stages, with ongoing studies focused on refining the robots' capabilities to ensure they can seamlessly integrate into existing scientific workflows. As this technology evolves, it holds the promise of transforming the landscape of scientific inquiry and experimentation.
Robotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
