A single destination for timely, editor-curated robotics news from around the world.
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...
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...
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...
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 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...
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...
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...
Labelbox has successfully raised over $100 million in Series E funding, led by Infinitum Partners, to enhance its reinforcement learning and enterprise AI agent offerings. The company, which serves over 400 customers, including 90% of top U.S. AI labs, achieved profitability in 2026 and has experien...
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...
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...
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...
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...
A recent study published in the Journal of Field Robotics explores a novel approach to obstacle-avoidance path planning for unmanned aerial vehicles (UAVs). This method utilizes MobileViT-based multimodal perception combined with deep reinforcement learning to improve navigation capabilities in comp...
Flexion is developing a reinforcement learning and sim-to-real platform specifically for humanoid robots. Over the past 18 months, humanoid robotics companies have raised billions, primarily funding human operators to manage robots, which has led to a teleoperation and data challenge within the indu...
UK-based robotics and AI company Humanoid has introduced KinetIQ Ascend, the company’s reinforcement learning approach designed to reach 99.9 percent manipulation reliability at human speed and beyond. KinetIQ Ascend builds on the previously announced KinetIQ platform with trial-and-error learning,...
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 h...
A groundbreaking robotic system has demonstrated its effectiveness in various manipulation tasks, including retrieving parts from bins, delivering objects to humans, and lifting and moving containers with its dual arms. This innovative technology was rigorously tested and has shown promising results...
In a significant development for the field of artificial intelligence, Richard Sutton, a pioneer in reinforcement learning, has teamed up with Tianshan Technology to host a groundbreaking event in China. This collaboration marks the first deep sharing initiative in the country, aimed at advancing kn...
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 ro...
A recent study published in the Journal of Field Robotics highlights advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions collaborated to develop innovative algorithms that enhance the efficiency and precision of robotic farming equ...
Toyota's CUE humanoid robot is advancing its capabilities through a novel approach that integrates reinforcement learning with Sim2Real techniques. This development focuses on improving the robot's walking and dribbling abilities, effectively narrowing the divide between simulated environments and r...
Researchers have identified significant limitations in behavior cloning (BC) methods used in robotics, prompting the development of a new approach known as Q2RL. This innovative technique integrates BC with reinforcement learning (RL) to enhance the performance of robots. By leveraging hidden knowle...
NVIDIA has announced a new engineering collaboration with Ineffable Intelligence, a London-based AI lab, aimed at enhancing the capabilities of reinforcement-learning agents. These AI systems, which learn through trial and error, are designed to transform computational processes into valuable knowle...
The Journal of Field Robotics has published an early view article highlighting recent advancements in robotic technology. Researchers from various institutions have collaborated to explore innovative applications of robotics in diverse fields, including agriculture, healthcare, and disaster response...
A recent study published in the Journal of Field Robotics explores advancements in autonomous robotic systems designed for agricultural applications. Researchers from various institutions conducted the study to address the growing need for efficient farming solutions amid increasing global food dema...
The Journal of Field Robotics has recently published an EarlyView article highlighting advancements in robotic technology. Researchers from various institutions have collaborated to explore innovative applications of robotics in field environments. This study, released in October 2023, focuses on en...
Sanctuary AI has showcased its advanced robotic hand, featuring hydraulically actuated five fingers, successfully executing in-hand object reorientation. This demonstration took place recently, highlighting the company's innovative approach to robotics. The robotic hand utilized a reinforcement lear...
Researchers have developed an innovative neural network designed for humanoid locomotion, utilizing reinforcement learning to enable robots to walk in a manner akin to humans. This breakthrough was achieved through advanced high-fidelity simulations, which not only improve the robots' walking capabi...
RSF defines a common language for robot service capability, lifecycle operations, certification pathways, and service-provider networks.
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