Industry Briefing
A single destination for timely, editor-curated robotics news from around the world.
Dexterous Robots Move From Labs to Industry With NSF Support
In July, the National Science Foundation (NSF) held the kickoff meeting for phase two of its Convergence Accelerator program in Pittsburgh, where participants engaged in knowledge transfer, strategic discussions, planning, and demonstrations. Researchers from Carnegie Mellon University are spearheading efforts to develop advanced robotic hands aimed at enhancing applications in health, agriculture, and manufacturing. This initiative will receive further backing from the U.S. government, facilitating the transition of these innovative robotic technologies from laboratory settings to real-world industrial use.
Announcements Research
Rough demos unlock precise robot actions, with up to fourfold real-world gains
Advancements in robotics are leading to the development of highly dexterous robots that are becoming integral to both daily life and industrial applications. These robots are capable of performing intricate tasks, such as assembling small components for smartphones and aiding surgeons during operations. However, the traditional method of training these robots to replicate delicate human movements has been labor-intensive and costly, requiring extensive data collection at precise time intervals. This challenge has prompted researchers to seek more efficient training methods to enhance the capabilities of robotic systems, ultimately aiming to reduce the time and financial burden associated with their development. As the demand for precision in various sectors grows, the evolution of robotic dexterity is expected to play a crucial role in improving efficiency and effectiveness across multiple fields.
Robotics
From Prosthetics to Pixels: PSYONIC and NVIDIA Bridge the Robotics "Data Gap" with Real-to-Real Transfer
PSYONIC has integrated its Ability Hand into NVIDIA's Isaac Lab, marking a significant advancement in robotic manipulation technology. This collaboration introduces a "real-to-real" transfer pipeline that leverages human-driven data to enhance the training of dexterous robots. By utilizing data collected up to October 2023, the initiative aims to improve the precision and effectiveness of robotic tasks, ultimately bridging the gap between human and robotic capabilities. This innovative approach is expected to accelerate the development of more sophisticated and adaptable robotic systems, paving the way for broader applications in various industries.
NVIDIA US hand PSYONIC Ability Hand
High Contrast & Technology Breakthrough: Behind the Billion-View Phenomenon of 'Hands' Bringing Robots into Everyday Life
Recent advancements in dexterous robotic hands are paving the way for their integration into everyday life, moving from mere demonstrations to practical applications. Experts predict that by 2026, these innovative technologies will see widespread adoption, driven by significant market growth and increasing demand for automation in various sectors. The evolution of these robotic hands showcases their potential to enhance productivity and efficiency, making them a vital component in the future of robotics. As industries continue to explore their capabilities, the impact of dexterous robotic hands is expected to reshape how tasks are performed, ultimately transforming both professional and personal environments.
Dexterous Robots Robotics Technology AI Automation
Interview with Sharpa’s Alicia Veneziani: ‘Dexterous manipulation is the key to useful humanoid robots’
Recent advancements in humanoid robotics have captivated audiences with remarkable demonstrations of walking, running, jumping, and balancing. However, experts in the field caution that while locomotion is a significant aspect, it is not the only challenge facing the development of practical humanoid robots. Many robotics specialists emphasize that the greater hurdle lies in replicating human-like cognitive abilities and social interactions, which are essential for these machines to be genuinely useful in everyday environments. As researchers continue to push the boundaries of technology, the focus is shifting towards enhancing the cognitive and emotional intelligence of robots, which could ultimately determine their effectiveness in real-world applications.
Design Features Humanoids ai robotics Alicia Veneziani automation news
From 'Product Creation' to 'Market Penetration': Six Key Trends in the Embodied Intelligence Industry for 2026
As the embodied intelligence industry gears up for a transformative phase in 2026, industry leaders are emphasizing the importance of practical applications for robotic technology. At a recent conference, experts discussed six key trends shaping the future of robotics, including significant advancements in dexterous hands, multi-modal perception, and the ongoing evolution of intelligent systems. These developments signal a shift from the creation of robots to their integration into real-world scenarios, highlighting the industry's commitment to enhancing functionality and usability. The conference served as a platform for innovators to showcase their latest research and solutions, underscoring the potential for robots to play a vital role in various sectors.
Embodied Intelligence Dexterous Robots Multi-Modal Perception Robotics Technology
Xynova Unveils Hybrid-Driven Gen-2 Dexterous Hand for Humanoid Robots
Xynova has unveiled its second-generation hybrid-driven dexterous hand, aimed at enhancing the manipulation capabilities of humanoid robots to perform real-world tasks with human-like intelligence. This innovative technology represents a significant advancement in robotics, allowing for more precise and adaptable interactions with various objects and environments. The release, which took place in October 2023, underscores Xynova's commitment to pushing the boundaries of robotic dexterity and intelligence. By integrating advanced engineering and artificial intelligence, the company seeks to address the growing demand for robots that can seamlessly integrate into everyday life and work alongside humans.
HumanoidRobotics
Yuan Sheng Intelligent Completes Over 100 Million Yuan Pre-A Round Financing: The Hands That Physical AI Needs to Touch the World
Yuan Sheng Intelligent has secured over 100 million yuan in its Pre-A round financing, marking a significant achievement as the company completes its fifth funding round within a year. This latest investment underscores the growing interest in the development of advanced dexterous hands, which are crucial for the advancement of embodied intelligence. The company is dedicated to bridging the gap between simulated environments and real-world applications, positioning itself as a key player in the robotics and artificial intelligence sectors. The funding will likely accelerate its research and development efforts, further enhancing its innovative capabilities in creating high-performance robotic solutions.
Dexterous Robots Embodied Intelligence AI Hardware Robotics Technology
Sharpa brings dexterous robot hands to Nvidia and Unitree humanoid reference design
Sharpa has unveiled the integration of its Wave tactile robot hands into the Unitree H2 Plus humanoid robot reference design, marking a significant advancement in robotics technology. This collaboration makes the Unitree H2 Plus the first dexterous humanoid platform to utilize Sharpa's tactile manipulation technology within Nvidia’s Isaac GR00T development framework. The companies aim to enhance the capabilities of robotics developers and researchers by providing a sophisticated platform that combines advanced tactile feedback with humanoid robotics. This integration is expected to facilitate innovative developments in the field, enabling more nuanced and effective interactions between robots and their environments.
Humanoids News automation news dexterous manipulation humanoid robots nvidia
Video Friday: Autonomous Robots Learn By Doing in This Factory
In a recent edition of Video Friday, IEEE Spectrum robotics showcased a variety of innovative robotics projects and developments. Notably, scientists at the Toyota Research Institute are collaborating with Toyota Manufacturing to implement autonomous robots on factory floors, enhancing production efficiency. Zipline shared insights into their drone delivery system, detailing the challenges faced and lessons learned in its development. Humanoid introduced KinetIQ, an AI framework designed for the orchestration of humanoid robot fleets, which integrates task allocation and execution through advanced cognitive layers. Meanwhile, researchers at VISTEC unveiled a decentralized adaptive resilient neural control system (DARCON) that enables legged robots to autonomously adapt to limb loss, ensuring mission success despite mechanical failures. NASA's Jet Propulsion Lab presented an animation of the Perseverance rover's drive along the Jezero Crater, captured on December 10, 2025, showcasing the rover's navigation capabilities. Additionally, Unitree's humanoid robot G1 made its mark on the snowfields of Altay, demonstrating its adaptability in extreme conditions. The Norwegian University of Science & Technology introduced a hierarchical 3D scene graph to enhance autonomous agents' understanding of their environments. Other highlights included the HoLoArm quadrotor, which features compliant arms for improved stability, and SkyDreamer, a pioneering vision-based autonomous-drone racing policy. The event also featured demonstrations of dexterous object manipulation by the AI Worker robot and advancements in swarm robotics for architectural applications.
Video-friday Autonomous-robots Humanoid-robots Industrial-robots Robot-ai Perseverance-rover
RLWRLD launches open platform to benchmark dexterous robotic hands
RLWRLD, a physical AI company with a proprietary robotics foundation model, RLDX-1, has announced the launch of “All Hands Up!”, an open web platform that provides technical reports and visualization tools based on the company’s firsthand experience operating a wide range of commercially available dexterous robot hands. All Hands Up! is designed to analyze and […]
Computing Robot simulation All Hands Up DexBench dexterous hands dexterous manipulation
PHANES AI Launches TouchWorld Tactile Model for Enhanced Robot Dexterity
PHANES AI, established by 28-year-old Yang Shuo from HIT, has introduced TouchWorld, a tactile foundation model designed to enhance robotic manipulation capabilities. This model enables robots to perform precise physical tasks by incorporating a sense of touch, marking a significant advancement in robotic dexterity and interaction with their environment. The introduction of TouchWorld is significant as it allows robots to predict and react to tactile stimuli, which is crucial for applications requiring fine motor skills. This development could lead to improved performance in various sectors, including manufacturing and healthcare, where dexterous manipulation is essential for tasks such as assembly or surgical procedures. Looking ahead, the impact of TouchWorld on the robotics industry will be closely monitored, particularly regarding its adoption in real-world applications. No further timeline was disclosed at the time of publication, but the potential for this technology to transform robotic capabilities is substantial.
Technology
China's First Integrated Chip Solution for Dexterous Hands: 0.1mm Precision and Ultra-Low Latency
A Chinese semiconductor company has unveiled a groundbreaking integrated chip solution designed for dexterous robotic hands, effectively tackling significant challenges such as high latency and low precision. This innovative technology merges AI ASIC capabilities with advanced materials, resulting in improved performance and cost efficiency. The new chip is poised to enhance the functionality of robotic systems across a range of applications, including industrial collaboration and home assistance. By enabling high-precision tasks, this development marks a significant advancement in the field of robotics, promising to transform how robots interact with their environments.
Robotics AI Dexterous Hands Chip Technology
Daimon Robotics and Galbot jointly launches RobOmni for benchmarking tactile perception and dexterous manipulation
Daimon Robotics and Galbot have announced the launch of RobOmni, a new platform designed to benchmark tactile perception and dexterous manipulation in the field of embodied AI. This development marks a significant shift from traditional vision-centric approaches to a more comprehensive understanding of physical interactions. The collaboration aims to enhance the capabilities of robots in performing complex tasks that require fine motor skills and sensitivity to touch. The launch event took place recently, highlighting the growing importance of tactile feedback in robotics and its applications across various industries. By integrating advanced tactile sensing technologies, RobOmni is set to provide researchers and developers with the tools needed to push the boundaries of robotic dexterity and perception.
Sponsored Content
Leading Internet Giants Invest in Hangzhou's Robotics Company for Innovative Dexterous Hands
Xynova Future, a robotics company based in Hangzhou, has successfully raised hundreds of millions in Pre-A funding, with JD.com leading the investment round and significant backing from major players like Xiaomi. The funding aims to support the company's mission to develop advanced dexterous hands for humanoid robots, a technology designed to enhance the interaction between digital intelligence and real-world applications. This investment marks a significant step in the evolution of robotics, as Xynova Future seeks to innovate and expand the capabilities of humanoid robots in various sectors.
Dexterous Robotics Humanoid Robots Investment in Technology AI Robotics
From 'Dexterous' to 'Intelligent': The Logic Behind XHand's 'Hand-Brain' Synergy
Researchers are advancing the field of robotics by developing dexterous hands that enhance the capabilities of artificial intelligence. A key focus of this evolution is XHand, a pioneering project that aims to create a harmonious integration between hardware and AI algorithms. By prioritizing this symbiotic relationship, XHand seeks to improve performance and adaptability, making robotic hands more effective in real-world applications. This innovative approach is crucial as the demand for sophisticated robotic solutions continues to grow, necessitating hardware that can effectively support complex AI functionalities. The ongoing research and development efforts are expected to significantly impact various industries, from manufacturing to healthcare, by enabling robots to perform tasks with greater precision and flexibility.
Dexterous Robotics AI Integration Robotic Hands Embodied Intelligence
Interview with Yuquan Biomimetic's Hu Zheqi: Deeply Engaging in the Dexterous Hand Sector to Reshape the Humanoid Robot Industry with Core Technology
In a significant development for the humanoid robot industry, Hu Zheqi of Yuquan Biomimetic has unveiled advancements in dexterous hand technology, which are crucial for the commercial success of robotic systems. During a recent presentation, he highlighted the capabilities of the Y-Hand M2 and W-Bot 2.0, both of which feature cutting-edge designs that closely mimic human biomechanics. These innovations aim to improve the performance and reliability of robots in practical applications, addressing a key challenge in the field. The breakthroughs are expected to enhance the functionality of humanoid robots, making them more adaptable for various tasks in everyday environments.
Humanoid Robots Dexterous Hands Biomimetic Technology Robotics Innovation
Genesis AI Unveils GENE-26.5, the First AI Brain to Enable Robots with Human-Level Physical Manipulation Capabilities
Genesis AI has unveiled a groundbreaking robotic foundation model that integrates an advanced data engine with a proprietary dexterous robotic hand, marking a significant advancement in robotics. The company showcased this innovation through a video released today, highlighting unprecedented complexity in robotic tasks. This development aims to enhance the capabilities of robots, positioning them as the most sophisticated machines ever created. By leveraging cutting-edge technology, Genesis AI seeks to revolutionize the field of robotics and expand the potential applications of these advanced systems.
IEEE Interview with Wang Yu: Daimon Aims to Give Robots a Sense of Touch
Wang Yu, co-founder and chief scientist of Daimon Robotics, recently unveiled the Daimon-Infinity dataset during an exclusive interview with IEEE Spectrum. This dataset, recognized as the largest multimodal tactile dataset to date, is designed to significantly improve robotic manipulation capabilities. Wang highlighted the critical role of tactile feedback in enabling robots to perform dexterous tasks, underscoring its potential to advance the field of robotics. The launch of this dataset marks a pivotal step towards more sophisticated and responsive robotic systems, aiming to bridge the gap between human-like dexterity and robotic efficiency.
Tactile Robotics Robotic Manipulation AI Data Sets Embodied Intelligence
CoRL2025 – RobustDexGrasp: dexterous robot hand grasping of nearly any object
Researchers are increasingly focused on bridging the dexterity gap between human and robotic hands, a challenge that has significant implications for various industries. Human hands, with their remarkable 20 degrees of freedom, exhibit an unparalleled ability to perform intricate tasks, from gripping tools to making quick adjustments in response to unexpected changes. This natural dexterity allows humans to engage in a wide range of activities with ease and precision. The quest to replicate this level of skill in robotic hands has gained momentum in recent years, driven by the growing demand for advanced automation in sectors such as manufacturing, healthcare, and service industries. As of October 2023, experts are exploring innovative designs and technologies that could enhance the functionality and adaptability of robotic hands, aiming to create machines that can perform complex tasks with the same fluidity as human hands. By leveraging advancements in artificial intelligence, machine learning, and materials science, researchers are developing robotic systems that can learn from their environment and improve their performance over time. This ongoing effort not only seeks to enhance the capabilities of robots but also aims to expand their applications, potentially transforming the way humans and machines interact in everyday tasks. The successful integration of dexterous robotic hands could lead to significant improvements in efficiency and safety across various fields, marking a pivotal step toward a future where robots can seamlessly assist humans in their daily lives.
Tencent, Huawei, Baidu Fuel the Rise of China’s Cloud-Powered Robots
Shenzhen-based robotics company Dobot has formed a strategic partnership with Tencent Cloud, announced today, to enhance the integration of cloud computing infrastructure and improve collaboration between edge devices and the cloud. This collaboration aims to leverage Tencent's cloud capabilities to optimize Dobot's robotics solutions. Dobot has established itself in the global market, having shipped over 80,000 collaborative robots to notable clients such as BYD, Mercedes-Benz, Porsche, Xiaomi, and Microsoft. The company recently unveiled Atom, the world's first full-sized humanoid robot designed for dexterous manipulation, in March. This partnership with Tencent Cloud is expected to further advance Dobot's technological innovations and expand its reach in the robotics sector.
News Feed
Kawasaki Robotics Unveils Dexterous Physical AI Robot Platform, Advanced Automation Technologies at Automate 2026
Kawasaki Robotics introduced its latest advancements in automation technology at Automate 2026, held in Chicago on June 17, 2026. The company showcased the new RL030N robot platform, which features eight degrees of freedom specifically designed for Physical AI applications, alongside its patented Pulseboard inspection technology. These innovations highlight Kawasaki's commitment to enhancing industrial automation through the integration of robotics, artificial intelligence, and machine learning. The RL030N robot stands out as the industry's first 8-axis platform, enabling high-speed motion and enhanced dexterity for complex tasks in dynamic environments. This robot is engineered to support AI-driven applications that require adaptive motion and obstacle avoidance, setting it apart from traditional industrial robots optimized for repetitive tasks. Additionally, Kawasaki demonstrated the Pulseboard technology in a robotic weld inspection system developed with Fives DyAG. This system significantly improves inspection efficiency by synchronizing image acquisition with the robot's movements, allowing for up to ten times faster weld inspections without compromising accuracy. Seiji Amazawa, President of Kawasaki Robotics, emphasized the importance of these technologies in shaping the future of automation, stating that they are designed to support emerging Physical AI applications while maintaining the reliability that manufacturers expect. The event marks a pivotal moment for Kawasaki Robotics as it continues to lead in intelligent automation solutions.
Prosthetic hands’ data helps robots get finer control for precise manipulation
ABB Robotics has announced a collaboration with California-based bionic company PSYONIC to enhance the development of more dexterous robotic systems. This partnership aims to leverage PSYONIC's expertise in bionic technology to create advanced robotic solutions that can perform intricate tasks with greater precision and adaptability. The initiative is part of ABB's ongoing commitment to innovation in robotics, seeking to address the growing demand for versatile robotic applications across various industries. The collaboration was officially unveiled in October 2023, marking a significant step forward in the integration of bionic technology into robotic systems. By combining their strengths, both companies hope to push the boundaries of what is possible in robotic dexterity, ultimately improving efficiency and productivity in sectors such as manufacturing, healthcare, and beyond.
AI and Robotics
RoboBrain-Dex: Solving the Challenges of Embodied Intelligent Dexterous Manipulation through Human First-Person Perspective Operation Videos
RoboBrain-Dex has unveiled a groundbreaking pre-training paradigm designed to improve robotic dexterity by utilizing extensive collections of human first-person operation videos. This innovative method aims to streamline the learning process for robots, significantly cutting down on both time and costs associated with training. By enabling robots to swiftly grasp complex human operational logic, this approach opens up new possibilities for their application in various high-value industries. The introduction of RoboBrain-Dex marks a significant advancement in the field of robotics, promising to enhance the efficiency and effectiveness of robots in real-world tasks.
Robotic Dexterity AI Training Human-Robot Interaction Embodied Intelligence
Mimic Robotics Raises $16M to Pair Dexterous AI Hands With Standard Robot Arms
A Zurich-based ETH spin-off is advocating for a practical and swiftly implementable solution to industrial automation, challenging the notion that full-body humanoid robots are the optimal choice for most tasks. Instead, the company emphasizes the development of a robust AI foundation model, which is designed to be trained and operated by human workers. This approach aims to enhance efficiency and effectiveness in various industrial applications, reflecting a shift towards more adaptable and user-friendly technologies in the sector.
Mimic Robotics hand hands
RLWRLD and Nvidia launch DexBench to standardize humanoid robot dexterity
RLWRLD, a company specializing in physical AI, has partnered with Nvidia to establish new industry standards for humanoid robot artificial intelligence. This initiative, announced recently, aims to enhance the capabilities of humanoid robots through three key components. The first is DexBench, a universal benchmark designed to assess dexterity performance in robotic systems. The second component focuses on creating a standardized data framework for training robots in dexterous manipulation. Lastly, the collaboration will ensure deep integration with Nvidia's open-source platforms, Isaac Lab and Isaac Lab-Arena, facilitating advanced development and testing of robotic technologies. This initiative is set to advance the field of robotics by providing essential tools and standards for evaluating and improving robot dexterity and functionality.
Computing Software automation news DexBench dexterous manipulation embodied ai
Video Friday: Digit Learns to Dance—Virtually Overnight
In a recent roundup of advancements in robotics, IEEE Spectrum highlighted several notable developments and upcoming events in the field. Among the key innovations is Digit, a humanoid robot that can learn new whole-body control capabilities overnight through sim-to-real reinforcement training, enhancing its performance in various tasks. Additionally, the introduction of GEN-1 marks a significant milestone in robot learning, achieving a 99% success rate in simple physical tasks and drastically reducing task completion time. Unitree has made strides by open-sourcing the UnifoLM-WBT-Dataset, a comprehensive dataset for humanoid robot teleoperation, which has been available since March 5, 2026. Meanwhile, researchers presented MRReP, a Mixed Reality interface that allows users to guide autonomous mobile robots in human-shared environments through hand gestures. In other developments, Sanctuary AI showcased its advanced hydraulic hands capable of dexterous manipulation, while China’s Yuxing 3-06 satellite successfully completed an in-orbit refueling test, paving the way for future satellite servicing. Furthermore, Japan Railway West collaborated with Serendix to utilize 3D printing technology for rapid construction at Hatsushima station, demonstrating innovative solutions to infrastructure challenges. Upcoming robotics 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, 2026, providing platforms for further exploration and collaboration in the robotics sector.
Humanoid-robots Video-friday Robot-ai Human-robot-interaction Teleoperation Industrial-robots
Video Friday: Humanoid Learns Tennis Skills Playing Humans
IEEE Spectrum robotics has released its latest edition of Video Friday, showcasing a variety of innovative robotics videos and announcing upcoming events in the field. Notable events include the International Conference on Robotics and Automation (ICRA) scheduled for June 1-5, 2026, in Vienna, and a Summer School on Multi-Robot Systems from July 29 to August 4, 2026, in Prague. Among the featured advancements, researchers have developed LATENT, a system designed to teach humanoid robots tennis skills by learning from imperfect human motion data. This innovation addresses the challenges of replicating human-like athleticism in robotics. Additionally, a breakthrough has been achieved in robotic manipulation, with a robot successfully peeling an apple using dual dexterous hands, showcasing significant progress in bimanual tasks. The development of MoDE-VLA, a control system that integrates vision, language, force, and touch data, further enhances the robot's ability to perform complex tasks with stability and precision. This shared-autonomy approach allows human operators to guide robots in executing intricate movements. In other highlights, collaborations between Tesollo and Hanyang University have led to advancements in robotic hand technology, while the Fluent Robotics Lab at the University of Michigan is set to present a paper on operational PR2 robots. The KAIST DRCD Lab has also demonstrated the capabilities of its humanoid robot, trained through deep reinforcement learning. As robotics continues to evolve, these innovations reflect the ongoing efforts to bridge the gap between human-like dexterity and robotic functionality.
Humanoid-robots Video-friday Robot-locomotion Nvidia Robot-manipulation Quadruped-robots
Genesis AI launches first general-purpose humanoid robot
Genesis AI, a global leader in robotics, has introduced Eno, its inaugural general-purpose robot. Launched recently, Eno is characterized by its minimalist design, which sets it apart from conventional robotic forms. Powered by GENE, the company's advanced foundation model, Eno is designed to function as a true physical agent, capable of reasoning and performing tasks autonomously. This innovation aims to redefine the capabilities of robots in various applications, reflecting Genesis AI's commitment to pushing the boundaries of technology in the robotics sector.
Humanoids News agentic ai ai robotics automation news Autonomous robots
Interview with Columbia professor and co-founder of SceniX Yunzhu Li: ‘Simulation is central’
The robotics industry is currently experiencing a significant influx of investment and media coverage, driven by ambitious projections regarding the future of humanoid machines. Numerous companies have unveiled plans to produce thousands of robots, leveraging recent advancements in artificial intelligence that have heightened expectations for the integration of general-purpose robots into various environments, including factories, warehouses, workplaces, and homes. This surge in interest reflects a growing belief that robots could soon become a standard presence in everyday life. However, amidst the enthusiasm, there are underlying challenges and considerations that the industry must address to realize these ambitious goals.
Artificial Intelligence Features Robotics ai robotics artificial intelligence automation news
Kirisense wins funding to develop robotic fingertips that can sense touch and slip
Kirisense, a UK robotics startup, has received funding from the Henry Royce Institute to advance its development of tactile sensing technology aimed at enhancing robots' sense of touch to more closely resemble that of humans. This initiative, part of the Henry Royce Institute’s Industrial Collaboration Programme, is being executed in collaboration with the University of Sheffield. The project will concentrate on creating robotic fingertips that can provide a more nuanced and sensitive interaction with their environment, potentially revolutionizing the field of robotics by improving the dexterity and functionality of robotic systems.
News Sensors advanced automation advanced materials artificial intelligence automation news
BeingBeyond Unveils Being-M0.7: A Revolutionary Humanoid Robot for Mobility and Dexterity
On July 15, BeingBeyond officially launched the Being-M0.7, the world's first full-body mobile operation implicit world action model (Latent WAM). This model enables robots not only to 'see' the world but also to 'understand' how it operates, facilitating full-body movements and dexterous actions. It connects visual perception with physical interaction, allowing robots to exhibit human-like coordination. The significance of Being-M0.7 lies in its ability to learn from over 10,000 hours of human first-person video pre-training, enabling it to predict physical changes based on implicit visual and motion information. Before executing commands, the model learns three core capabilities: visual context understanding, future state prediction, and implicit representation of humanoid kinematics. This foundational understanding precedes its ability to control movements. Looking ahead, BeingBeyond's advancements in implicit world action models are noteworthy. The Being-M0.7 expands the capabilities of previous models, transitioning from desktop dexterous tasks to full-body mobile operations. Future demonstrations will likely showcase the robot's understanding of physical interactions and its ability to perform complex tasks autonomously, marking a significant step in humanoid robotics development.
Humanoid Robots Robotic Mobility AI Machine Learning
MIT Engineers Develop Ultrasound Wristband for Real-Time Robotic Hand Control
MIT engineers have created an innovative ultrasound wristband that allows wearers to control a robotic hand through their own movements. This wristband captures real-time images of the wrist's muscles and tendons, translating them into the positions of the fingers and palm using an AI algorithm. Demonstrations have shown that users can wirelessly manipulate a robotic hand to perform tasks like playing the piano or shooting a basketball. This technology is significant as it offers a new method for hand tracking in robotics and virtual reality, potentially replacing traditional techniques that rely on cameras or sensor-laden gloves. The wristband's ability to gather diverse hand motion data could lead to advancements in training humanoid robots for dexterous tasks, including surgical procedures. Xuanhe Zhao, a professor at MIT, emphasizes the immediate impact this work could have on both virtual environments and robotic dexterity. Looking ahead, the research team aims to expand their dataset of hand motions by collecting data from users with varying hand sizes and gestures. This could enhance the capabilities of humanoid robots and improve interactions in virtual settings. No further timeline was disclosed at the time of publication.
From Race Tracks to Living Rooms: Adapting Chip Solutions for Robotic Applications
Guomin Technology has unveiled its N32H series microcontroller unit (MCU), which is set to revolutionize a range of robotic applications, including marathon-running humanoid robots and smart home assistants. This innovative chip boasts advanced capabilities in real-time response, precision control, and energy management, making it effective in diverse environments. The article also addresses the challenges faced in creating dexterous robotic hands and emphasizes the reliability needed for industrial applications. With these advancements, Guomin Technology aims to enhance the functionality and efficiency of robotics, paving the way for more sophisticated and versatile robotic solutions.
Robotics MCU Technology AI Solutions Smart Home Devices
RoboScience launches Visics, a versatile embodied model for cross-ontology, cross-object, and cross-task applications.
On June 24, RoboScience, a company specializing in embodied intelligence, unveiled its self-developed Visics large model, introducing the innovative VLOA (Vision-Language-Object-Action) architecture. This announcement marks a significant advancement in the field, demonstrating the model's applications in real-world scenarios such as furniture assembly, dexterous grasping, and dynamic assembly lines. The current landscape of embodied intelligence lacks a universally accepted foundational representation unit, which hampers data collection, model learning, and the transfer of knowledge to new contexts. Traditionally, models have focused on replicating specific robotic movements tied to particular tasks, limiting their adaptability to new robots, objects, or environments. Founder and CEO Tian Ye highlighted three major challenges in robotic operations: poor generalization, difficulty in precise manipulation, and cumulative errors in long-range tasks. To address these issues, RoboScience has developed a new foundational representation unit from the ground up. The Visics model employs a dual-engine architecture, consisting of an embodied world model and a universal operation model, each operating independently. The embodied world model utilizes vast amounts of internet video data to learn the physical dynamics of objects, while the operation model translates object trajectories into actionable commands for robots. This layered design enhances the model's generalization capabilities across various robotic platforms and tasks. RoboScience's innovative approach also includes a high-precision simulation engine, RoboMirage, which, combined with automated video data annotation, significantly reduces data acquisition costs. The company aims to build a comprehensive dataset of over 1 terabyte of high-quality manipulation trajectories by 2026. Since its inception, RoboScience has garnered support from multiple investors and established research and production centers in major Chinese cities. The company plans to collaborate with various sectors, including retail and logistics, to standardize robotic products for industrial and commercial applications by the end of this year.
China’s new robotic hand combines hybrid actuation for smarter robot manipulation
Chinese robotics company Xynova has introduced its second-generation dexterous hand, designed to enhance the capabilities of humanoid robots. The unveiling took place recently, showcasing advancements in robotic technology that aim to improve the dexterity and functionality of robots in various applications. This innovation is part of Xynova's ongoing commitment to push the boundaries of robotics, addressing the growing demand for more sophisticated and versatile robots in industries such as manufacturing, healthcare, and service. The new hand features improved grip strength and precision, enabling robots to perform complex tasks with greater ease. By advancing robotic dexterity, Xynova seeks to facilitate the integration of humanoid robots into everyday environments, ultimately enhancing human-robot collaboration.
Insights from Industry Leaders at the Embodied Intelligence Conference
The third China Embodied Intelligence and Humanoid Robot Industry Conference recently took place, highlighting significant advancements in humanoid robotics. Experts gathered to showcase breakthroughs in areas such as dexterous manipulation, natural interaction, and artificial intelligence capabilities. The event served as a platform for industry leaders to address the challenges faced in scaling these technologies across various sectors and to explore future directions for development. The conference underscored the growing importance of humanoid robots in enhancing operational efficiency and improving human-robot interaction in diverse applications.
Humanoid Robots Embodied Intelligence AI Technology Robotics Innovation
SynapX Launches SYNData: Multimodal Data Collection System for Embodied AI Era
SynapX has introduced SYNData, an innovative multimodal data collection system designed to enhance dexterous manipulation capabilities. Launched recently, this system integrates ego vision, electromyography (EMG) signals, and data from exoskeleton gloves, facilitating the scalable collection of human manipulation data essential for advancing robot learning. The development aims to improve the interaction between humans and robots, ultimately contributing to more sophisticated robotic applications in various fields. By harnessing diverse data sources, SYNData promises to provide valuable insights that can drive the evolution of robotic dexterity and functionality.
Robotics
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
Manus Metagloves Pro Haptic: Closing the Feedback Loop for Humanoid Teleoperation
Dutch haptic specialists have unveiled their latest hardware designed to enhance the performance of embodied AI and improve dexterous robot control. This innovative technology aims to deliver high-fidelity data crucial for the development of next-generation robotic systems. The announcement comes as the demand for advanced robotics continues to grow, driven by the increasing integration of AI in various industries. By providing more precise sensory feedback, this new hardware is expected to significantly advance the capabilities of robots, enabling them to perform complex tasks with greater accuracy and efficiency. The launch highlights the ongoing efforts within the tech community to push the boundaries of robotics and artificial intelligence, paving the way for smarter, more responsive machines.
Data Collection Dexterity hand Manus
Google DeepMind Unveils On-Device Gemini Robotics, Pushing AI Closer to Autonomous Dexterity
Google DeepMind has introduced Gemini Robotics On-Device, a cutting-edge vision-language-action model that operates directly on robotic hardware. This innovative technology is designed to enhance the performance of autonomous robots by minimizing latency and increasing robustness across diverse environments. By enabling advanced dexterous manipulation, Gemini Robotics On-Device aims to equip a new generation of robots with the ability to quickly adapt to various tasks. The launch marks a significant step forward in the development of more efficient and capable robotic systems, reflecting DeepMind's commitment to pushing the boundaries of artificial intelligence in practical applications.
vla Apollo AI Humanoids Apptronik google-deepmind
Humanoid says KinetIQ Ascend reinforcement learning approaches human-level dexterity
Humanoid has announced that its KinetIQ Ascend technology achieves an impressive 99.9% manipulation reliability, capable of performing industrial tasks at human speed and even surpassing it. This breakthrough is attributed to advanced reinforcement learning techniques that enable robots to exhibit human-level dexterity. The development marks a significant advancement in robotics, potentially transforming efficiency in various industrial applications.
Artificial Intelligence Artificial Intelligence / Cognition Humanoids News dexterous manipulation humanoid
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
Valuation Exceeds $1 Billion! AGILINK Completes New Round of Financing Worth Hundreds of Millions
AGILINK, a prominent developer specializing in robotic dexterous hands, has announced the successful completion of a financing round, securing hundreds of millions of RMB and achieving a valuation exceeding $1 billion. This significant funding will be allocated towards the advancement of new dexterous hand models, the creation of open-source datasets, and necessary hardware upgrades. The initiative aims to expedite the integration of these technologies into industrial automation and service robotics, addressing the growing demand for sophisticated robotic solutions in various sectors.
Robotic Dexterous Hands Industrial Automation Service Robots Investment Technology Development
Robotera Reaches $1.4 Billion Valuation in RMB 1 Billion Strategic Round
Robotera, a robotics company based in Beijing, has successfully raised nearly $140 million in new funding, elevating its valuation to unicorn status. This significant financial boost comes as the company reports over $70 million in commercial orders for its L7 humanoid and dexterous hardware. The funding will likely support the expansion of Robotera's product development and market reach, reflecting growing interest and demand in the robotics sector.
fundraising China Robotera
Helix Learns to Fold Laundry
Helix, a humanoid robot developed by Figure, has reached a notable milestone by successfully folding laundry, a task that has long posed challenges for robotic technology. This achievement showcases Helix's advanced dexterity and adaptability, particularly in managing deformable items such as towels. The robot employs the same architectural framework used in its logistics applications, highlighting its versatility and potential for broader applications in everyday tasks. This breakthrough in humanoid robotics not only emphasizes the progress made in the field but also opens up new possibilities for integrating robots into domestic environments.
humanoid robotics autonomous systems machine learning dexterous manipulation artificial intelligence
Video: Pudu Robotics Equips Delivery Bot with Dual Arms in New FlashBot Arm
Pudu Robotics has unveiled its latest innovation, the FlashBot Arm, a cutting-edge service robot that features dual seven-degree-of-freedom arms and dexterous hands mounted on a mobile delivery base. This advanced robot is engineered to perform a variety of tasks, including operating elevators and opening doors, thereby enhancing its functionality in diverse service environments. The introduction of the FlashBot Arm signifies a significant step towards integrating autonomous navigation with sophisticated manipulation capabilities, allowing for greater versatility in settings such as hotels, hospitals, and restaurants. By combining these technologies, Pudu Robotics aims to improve efficiency and service delivery in industries increasingly reliant on automation.
pudu robotics flashbot arm
TARS brings real-life embodied AI to ICRA 2026 robotics conference
TARS made a significant impact at the IEEE International Conference on Robotics and Automation (ICRA 2026) with the international launch of its DexHand platform, which garnered considerable interest from both industry leaders and academics. The event took place during the conference, where Dr. Ding, TARS’ chief scientist and co-founder, delivered a keynote address in the plenary session. The demonstration of DexHand highlighted its ability to perform all 26 sign-language gestures of the English alphabet, showcasing the platform's innovative capabilities and potential applications in enhancing communication. This debut not only marks a milestone for TARS but also emphasizes the growing intersection of robotics and accessibility technology.
Artificial Intelligence Components automation news DexHand dexterous manipulation embodied ai
Generalist AI raises $400 million to scale robot intelligence platform
Generalist AI, a startup focused on creating foundation models for robotics, has successfully secured $400 million in a recent funding round. This investment aims to expedite the development of what the company refers to as “physical AGI,” or artificial general intelligence that can function in the physical world through robotic systems. Following this funding, Generalist AI's valuation has reached approximately $2 billion. The influx of capital will enable the company to enhance its research and development efforts, positioning it at the forefront of advancements in robotics and AI technology.
Computing News Software 8VC ai funding AI modelsRobotics needs a service framework.
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
