A single destination for timely, editor-curated robotics news from around the world.
AGIBOT co-founder Yao Maoqing introduced the GO-3 Preview at Innovation Day on October 29, showcasing an embodied foundation model aimed at improving robot capabilities through pre-training and real-world experience. The model has achieved top rankings on RoboDojo, RoboTwin, and RoboColiseum, with p...
Machenta, a spinout from Imperial College London, has successfully raised $40 million in seed funding aimed at developing robot foundation models capable of learning tasks from a single demonstration. This funding round, led by Creandum and Union Square Ventures, marks the largest seed financing for...
Recent advancements in robot learning have enabled machines to autonomously perform an increasing number of tasks. However, the processes of data collection, failure diagnosis, training plan adjustments, and deployment decisions still heavily rely on human researchers and engineers. While robots are...
A team from the University of Science and Technology Beijing (USTB) has successfully utilized deep Q-learning to redesign the flapping wings of the USTButterfly-II. This innovative approach has resulted in a remarkable 339 percent increase in lift performance during 95 real flight tests. The signif...
Researchers at The Grainger College of Engineering, University of Illinois Urbana-Champaign, have developed a new method that combines reinforcement learning with control theory. This innovative approach ensures that robots not only learn tasks effectively but also maintain stability during operatio...
A recent study published in Science Robotics highlights the role of structural bias in achieving reliable sim-to-real transfer for reinforcement learning in robot swarms. This advancement is crucial as it enhances the performance and adaptability of robotic systems in real-world environments. The s...
From October 12 to 16, SEEN·E Robotics showcased its self-developed embodied foundational model SE-1 and two robotic products—Sculptor, a logistics operation robot, and Edge, a dual-arm industrial robot—at the 2026 China International Industrial Expo. The company demonstrated the robots' capabilitie...
In the latest episode of Robot Talk, Michelle Lu, co-founder and CEO of Vsim Technology, discusses the use of simulation and AI to enhance robot learning. Lu, who previously served as Director of Simulation Technology at NVIDIA, co-created Isaac Gym, a pioneering GPU-accelerated reinforcement learni...
Knowin, an embodied AI company, has released a technical report detailing GLOW, a generative learning framework designed for home robots. This innovative framework enables robots to learn tasks from a single human demonstration, achieving a performance score of 62.2% on RoboDojo and 86.7% on LIBERO-...
Light Origins has launched Light-O1, its first general-purpose embodied foundation model, which utilizes human actions extracted from internet videos to provide a reusable framework for robots to learn various tasks. The company trained six versions of the 4-billion-parameter model on multimodal tok...
Noin has unveiled the GLOW architecture, a generative learning framework aimed at enhancing robot learning capabilities. This new technology allows robots to learn tasks instantly without the need for extensive data collection or predefined processes, addressing the challenges posed by dynamic real-...
Astribot has introduced SmoothRL, an online reinforcement learning framework validated through real robot tasks. This technology addresses a critical challenge in embodied intelligence: how robots can learn and improve while executing tasks in real-time. Traditional models struggle with precision in...
Sun Peng, a former core researcher in AI at ByteDance and Tencent, has joined Stardust Intelligence to improve post-training processes in robot reinforcement learning. This move is expected to enhance the capabilities of robots in learning from their environments more effectively. The significance...
A new path-planning method for orchard robots has been developed, utilizing reinforcement learning techniques. This innovative approach aims to improve the efficiency and effectiveness of robotic navigation in agricultural settings. The significance of this development lies in its potential to enha...
A recent study published in Science Robotics highlights the role of a playful robot in a crib designed to enhance our understanding of sensorimotor contingency learning. This innovative approach aims to investigate how infants learn to associate their actions with sensory outcomes through interactio...
Skild AI has introduced S1, an advanced embodied foundation model designed for complex manipulation tasks using in-context prompting. This innovative approach replaces traditional text commands and extensive task-specific fine-tuning with a single video demonstration, enabling the system to perform...
At the World Robotics Conference (WRC) 2026, tactile perception emerged as a focal point, highlighting its importance in robotic interaction. Tashan Technology showcased its tactile perception loop, addressing the limitations of visual imitation learning in complex industrial environments. The compa...
Generalist AI has introduced GEN-1.5, an advanced embodied foundation model capable of one-shot learning for dexterous tasks. This model can learn new behaviors with just 3 to 12 seconds of sensorimotor demonstration data, eliminating the need for gradient updates. The model's performance shows a 59...
Generalist, a robotics startup valued at $2 billion, utilizes human demonstration data to train robots on real-world tasks. Developed through collaboration among Toyota Research Institute, Columbia University, and Stanford University, the Universal Manipulation Interface (UMI) enables the collection...
A study by the Berlin Smart Science Institute tracked 90 adults learning a new language from a humanoid robot, recording over 2,000 mistakes. Surprisingly, the research found that providing excessive information immediately after errors can hinder learning. Three feedback modes were tested, with per...
A research team from Okinawa Institute of Science and Technology found that an AI robot, during training, began to exhibit playful behavior, leading to faster learning. This study, published in 'Science Advances,' reveals that a rich language environment combined with inherent curiosity is crucial f...
A recent study published in Science Robotics highlights significant advancements in robotic manipulation using real-world reinforcement learning techniques. This research demonstrates how robots can learn to perform complex tasks more efficiently by interacting with their environment, leading to imp...
In a discreet industrial park in suburban Beijing, a humanoid robot is meticulously stacking bags of chips on a shelf. Nearby, workers are filming their actions of folding sheets and handling cushions, which will serve as 'textbooks' for the robots. China is undertaking a significant initiative to t...
An erratum has been issued for the research article titled 'Observing a robot peer’s failures facilitates students’ classroom learning' published in Science Robotics. This correction addresses inaccuracies found in the original publication, ensuring the integrity of the research findings. The impor...
A robot in a warehouse near Austin has fallen for the 4,000th time without assistance, showcasing the progress of embodied intelligence. This technology allows machines to physically interact with the world, fundamentally changing how they learn. Instead of merely processing information, these robot...
Generalist AI has announced it has secured $400 million in new funding, pushing its total capitalization past $500 million. This funding round, led by Radical Ventures, includes participation from notable investors such as NVIDIA’s NVentures and angel investors like Zoom CEO Eric Yuan. The capital w...
Hugging Face has introduced the LeRobot Humanoid, an open-source bipedal robot designed for robot learning, with a build cost of approximately $2,500. This initiative aims to address the significant barrier in open-source robotics, which is the limited availability of accessible physical platforms f...
A collaboration between Tsinghua University, Infinigence AI, and AgiBot has successfully trained 96 real robots to learn from each other's experiences. In a series of 600 trials, two previously unseen robots achieved a remarkable success rate of 97.5%. This training led to significant improvements i...
Bear Robotics has launched KINO-2, a robot-learning platform designed to convert task demonstrations into deployable manipulation skills on its KR1 humanoid robot. This development is a result of Bear's collaboration with NVIDIA, leveraging their Physical AI technologies to enhance operational effic...
ABB Robotics has announced the addition of the 'AI Robot Trainer' to its OmniCore EyeMotion robot vision solution. This tool enables faster learning, implementation, and continuous improvement of AI-driven robot vision applications without requiring expertise in building AI models from scratch. Des...
Humanoid robots are demonstrating improved capabilities in ball sports, yet replicating a professional athlete's motion style while ensuring reliable performance remains a challenge. This article discusses an adaptive motion planning and tracking framework that learns tennis serving and rally techni...
DexForce has introduced UNITAS, a novel approach that unifies robot perception, action, and environmental changes within a 3D physical representation space. This model utilizes point positions and time-varying trajectories to enhance understanding and interaction with the physical world. The signif...
Autonomous vehicle companies are focusing on the potential of delivery robots operating during nighttime hours. They believe that overcoming technical challenges could unlock a significant market opportunity in this area. The ability to deliver goods after dark could enhance logistics efficiency an...
At RoboBusiness 2026, Eli Lilly's Faraz Yousuf and Purdue University's Dr. Anastasia Kouvaras Ostrowski will discuss their findings on human-robot interaction (HRI) in manufacturing. Their presentation will focus on the challenges of conducting HRI research in live production environments and the in...
Space Data Corporation has commenced the provision of 'RobotBrain', a foundational platform designed to support the deployment, operation, and learning of robots in real-world settings. This initiative extends their existing technologies in digital twins, physical simulations, and spatial intelligen...
Polybot, a startup spun off from the ELLIS Institute and the Max Planck Institute for Intelligent Systems, is developing a tomato-picking robot that learns from human demonstrations. This robot has transitioned from the lab to real greenhouse environments, marking a significant step towards practica...
The Journal of Field Robotics has published an early view article focusing on enhancing mobile robot planners. The study emphasizes the importance of a hierarchical architecture combined with sim-to-real transfer techniques to improve the efficiency and effectiveness of robotic planning systems. Th...
On September 21, Fangqi Technology announced the completion of an angel funding round worth tens of millions, with investors including Qidi Star Venture Capital. The funds will primarily be used for core technology research and development, team expansion, and accelerating the validation and commerc...
OLogic will showcase the potential of egocentric robot learning at RoboBusiness 2026, highlighting how robots can learn from human demonstrations. This innovative approach allows robots to acquire complex skills by observing human behavior, addressing challenges such as labor shortages and operation...
A small robot named PrimeLite, developed by Deep Intelligence, is designed for educational settings, allowing students to build their own robots from 3D-printed parts. This initiative aims to make embodied intelligence accessible in classrooms by addressing cost and safety concerns associated with t...
Skild AI has launched the S1, a groundbreaking robotics foundation model that allows robots to learn manipulation tasks from just one video demonstration. This innovative model eliminates the need for task-specific fine-tuning or post-training, streamlining the learning process for robotic systems....
In September, a unique robot kindergarten opened in Beijing's Shijingshan Shougang Park, featuring robots from various companies like Yushu Technology and Accelerated Evolution. This initiative, co-developed by He Mountain Technology and Richard Sutton's Openmind team, aims to teach robots through i...
A recent study has revealed the influence of task complexity on skill retention in the teleoperation of surgical robots. This research provides a framework aimed at enhancing training methodologies for surgeons operating robotic systems. Understanding how different levels of task complexity affect...
Recent developments in tactile data collection are addressing the challenges of robot dexterity in everyday tasks. Researchers are leveraging vision-language-action models, which have shown promise in guiding robots through complex actions, but still struggle with tasks requiring fine motor skills....
Skild AI has launched its S1 robot foundation model, designed to learn new tasks from a single video demonstration. This innovative approach utilizes in-context learning, allowing the robot to understand and execute tasks without the need for extensive reprogramming. The model was developed using NV...
An international team from Tohoku University and VISTEC is studying stick insects to enhance robot navigation in challenging terrains. The research focuses on the insect's six legs, which allow for agile movement across various surfaces, surpassing current multi-legged robots in coordination. By emp...
AGIBOT, a Chinese robotics company, has released its WORLD 2026 dataset, featuring 11,430 robot trajectories aimed at advancing research in reinforcement learning for embodied AI. This dataset emphasizes learning from real-world interactions, capturing a range of experiences including successes, fai...
Skild AI has introduced S1, its flagship robot foundation model designed to enable in-context learning for robotics. The model allows robots to learn complex tasks by observing a single video, a significant advancement since the company's founding in 2023, during which it raised nearly $1.7 billion...
Researchers have developed NVIDIA's new framework, COMPASS, aimed at simplifying the training of robot navigation systems across various machines and environments. This innovative approach combines AI agents, simulation, reinforcement learning, and automated testing to significantly reduce the time...
Autonomous robots are increasingly being deployed on construction sites, where GPS signals are unreliable due to environmental factors. Instead of relying on external positioning, these robots utilize Simultaneous Localization and Mapping (SLAM) technology to create real-time maps using cameras and...
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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