A single destination for timely, editor-curated robotics news from around the world.
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-...
A recent study by a Korean research team has achieved a breakthrough in 3D printing technology, specifically in the development of a pneumatic gripper capable of grasping eggs. Utilizing only 0.5 milliliters of resin, the team created a model that exhibits a remarkable elongation rate of over 600% a...
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-...
Xiaomi has announced the open-source release of its MiMo-V2.6 series, which includes the MiMo-V2.6-Pro and MiMo-V2.6-Flash models. Additionally, the company has introduced MiMo-V2.6-Distill-Qwen-9B and provided research resources focused on reinforcement learning. The MiMo-V2.6-Pro achieved a score...
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...
DigiKey is set to host a free webinar featuring Shawn Hymel on August 13, 2026, focusing on training balance bots using reinforcement learning. This 90-minute virtual workshop aims to provide hands-on experience in robotics and artificial intelligence, catering to those interested in the burgeoning...
A recent study by the IEEE Robotics and Automation Society examined the overwhelming challenge of keeping up with the surge in robotics research publications, particularly in Learning from Demonstration (LfD). In 2024, IEEE alone published 46,968 papers in robotics and automation, highlighting the d...
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...
Researchers at MIT’s McGovern Institute for Brain Research and York University in Toronto have investigated how visual learning occurs in the brain. By analyzing neural activity and utilizing computational modeling, they compared the learning processes of animals and an artificial neural network des...
The Beijing Humanoid Robot Innovation Center and Renmin University of China's Gaoling Artificial Intelligence Institute have launched the Robo-ValueRL open-source framework. This initiative aims to enhance humanoid robots' decision-making capabilities in precision tasks, such as semiconductor assemb...
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...
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...
In Kazakhstan, a project named GdeKotBot is utilizing free-roaming cats equipped with cameras and GPS trackers to assist in finding missing pets. This innovative approach combines artificial intelligence with community efforts, allowing the cats to gather footage in areas where frightened animals ma...
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...
Cathy Wu, an associate professor at MIT, is leveraging machine learning and reinforcement learning to enhance transportation systems. Her personal experiences, including her father's long commutes and her childhood gaming, inspired her to tackle complex transportation challenges. Wu's research aims...
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...
In Guadalajara, Mexico, a team from ITESO, Universidad Jesuita de Guadalajara, has developed RoboMeshA, a portable educational platform aimed at enhancing robotics and AI learning in high schools lacking advanced tools. This initiative, part of the EPICS in IEEE program, involves 15 engineering stud...
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...
Vesoma, the startup behind the Kyle humanoid prototype, has publicly emerged with its first product, Vesoma 1. The company, which began operations in December 2025, has over 60 employees and has established more than 3,500 square meters of lab and office space in Munich, Germany, and Limassol, Cypru...
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...
ETH Zurich's Soft Robotics Lab has introduced a novel technology that utilizes robot hand fingers as feet, enabling interaction with the environment. By employing reinforcement learning, the robot hand can support its own weight while moving and performing various tasks. A demonstration video showca...
XPENG Robotics has unveiled XPACE, a novel system designed to enhance the learning capabilities of its IRON humanoid robot. By utilizing 5,000 hours of human activity videos and simulated mistakes, XPACE aims to improve robot performance without the need for direct human demonstrations in every scen...
Songyan Dynamics' Scalabot brand has launched HERON-CRA, which integrates a 4D Context Expert memory and a plug-in Reinforcement Learning (RL) Engine. This innovative combination has significantly improved the sock-folding success rate from 38.5% to an impressive 97.8%. The introduction of HERON-CR...
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...
On September 10, at the Bund Conference, Luo Yihang, co-founder and CEO of Shengshu Technology, unveiled Motus2, a self-evolving general world model aimed at robotic dexterous manipulation. Unlike traditional robots that rely on explicit instructions, Motus2 enables robots to learn autonomously from...
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...
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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