A single destination for timely, editor-curated robotics news from around the world.
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...
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...
Recent research published in the Journal of Field Robotics explores the application of multi-fidelity reinforcement learning to enhance the performance of autonomous surface vehicles. This innovative approach aims to bridge the gap between simulation and real-world environments, enabling more effect...
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...
Google DeepMind has showcased a novel robotics training method where its Gemini 4 Argon AI model learns tasks by observing videos and then applies this knowledge to Apptronik’s Apollo humanoid robot. This demonstration highlights the capabilities of Gemini 4 Argon, which integrates visual-semantic r...
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 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...
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...
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...
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...
Google Cloud and NVIDIA have announced the general availability of A5X instances, set to launch next month, which will enhance cloud-based training and inference for large-scale reinforcement learning. This infrastructure integrates NVIDIA Vera Rubin NVL72, ConnectX-9 SuperNICs, and Google Cloud's a...
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...
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...
A new deep-learning model improved surgeons’ recognition of pelvic anatomy in video-based PLND tests, though live surgical validation is still needed.
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,...
Researchers from Queen Mary University of London and the University of Florence have unveiled a groundbreaking mechanochromic film measuring just 16 microns in thickness, designed to enhance tactile sensing capabilities in robots. This innovative sensor operates without the need for deep learning, d...
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...
Deep Intelligence, a company focused on advancing artificial intelligence through human learning methodologies, has secured hundreds of millions in financing. This significant funding round, announced recently, highlights the growing interest in AI technologies that prioritize human-like learning pr...
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 navigation. Researchers from a leading robotics institute conducted experiments to enhance the efficiency of robots in complex environments. The study, released in early October 2023, focuses on t...
Engineering researchers at the University of California, Los Angeles (UCLA) have unveiled a groundbreaking three-dimensional printing technology that significantly enhances the production of complex structures. This innovative method, introduced in October 2023, aims to revolutionize various industr...
In June 2026, the Journal of Field Robotics published a comprehensive study examining advancements in robotic technologies and their applications in various fields. This research highlights the contributions of leading experts in robotics, who analyzed the latest innovations and their potential to e...
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...
The Journal of Field Robotics has published an early view article highlighting recent advancements in autonomous robotic systems. Researchers from leading universities and technology firms presented their findings on October 15, 2023, during a virtual conference focused on robotics innovation. The s...
A recent study has introduced a deep learning methodology aimed at improving malware detection in electric vehicle (EV) charging stations. Conducted by a team of researchers, the study addresses significant limitations in current detection systems, ultimately enhancing their accuracy. The findings,...
In May 2026, researchers published a study in the Journal of Field Robotics, exploring advancements in robotic technology for agricultural applications. The study focuses on the development of autonomous robots designed to enhance efficiency in crop management and harvesting processes. Conducted by...
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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