Technology areas
Robot models and learning
Robot VLA models, general action and world models, imitation and reinforcement learning, skill and motion policy learning, online adaptation, and transfer across tasks and robot bodies. The contribution is a model, policy, or learning method. Dataset releases belong under Data and simulation; inference deployment belongs under Software and compute systems.
206 selected · 116 in the last 30 days
Physical Intelligence ·
Physical Intelligence opens Pi API beta, offering π model training and inference
Physical Intelligence has opened the Pi API beta, allowing developers to upload data, fine-tune π models on the company-managed compute and infrastructure, and then run inference through a hosted gateway; the current interface already offers more data-efficient fine-tuning and improvement capabilities.
Pollen Robotics · YouTube ·
Pollen Robotics launches Microduck Arena virtual competition arena
Pollen Robotics has released Microduck Arena, a virtual arena where Microduck robots race, train, and compete without the need for physical robots. Users train policies with reinforcement learning and publish them to their own Hugging Face accounts to enter challenges; each submission is evaluated uniformly by the Arena, and results can be compared across players. Published policies can be downloaded as .onnx files to watch replays and learn from the best runs.
Sanctuary AI ·
Sanctuary AI releases TIGER method to accelerate robot reinforcement learning with imitation policies as dense rewards
Sanctuary AI proposes TIGER (Task-Space Imitation Guidance for Efficient Reinforcement Learning), which does not execute the imitation policy but instead maps its action chunks through the controller into end-effector reference trajectories, converting them into dense rewards for reinforcement learning.
Rainbow Robotics ·
Samsung unveils robot commercialization roadmap and Metro-WM world model at Samsung AI Forum 2026
At Samsung AI Forum 2026, held at its Seoul headquarters, Samsung Electronics unveiled a robot commercialization roadmap led by its newly established RX (Robot eXperience) Business Promotion Office, combining robot foundation model (RFM) and world model technology to first advance automation at its own more than 100 factories and more than 100 production lines, before entering the home assistant robot market.
Rainbow Robotics ·
Samsung unveils robot commercialization roadmap: factory automation first, then the home
At the Samsung AI Forum 2026, Samsung announced its robot commercialization roadmap. Centered on its newly established RX (Robot eXperience) business promotion office, the plan is to first advance automation at its more than 100 factories and more than 100 production lines, then enter the home assistant robot market.
Boston Dynamics ·
Boston Dynamics unveils dexterous hand for next-gen Atlas robot: 13-DOF four-finger design
Boston Dynamics has unveiled a dexterous hand for its next-generation Atlas humanoid robot, increasing from GR2's 7 degrees of freedom to 13, using a four-finger design with a 4-DOF opposable thumb, direct drive, and only a single actuator type. The design drops the pinky finger to reduce cost and complexity, is equipped with fingertip and palm pressure tactile sensors, supports pinch grasping, three-finger grasping, and pressing tool triggers, and was optimized for high-fidelity simulation for sim-to-real transfer and reinforcement learning, with preliminary sim-to-real results on dynamic tasks already available.
至简动力 · 微信公众号 ·
Zhijian Dynamics Showcases SimpleWAM On-Device Real-Robot Operations and CNC High-Precision Manipulation Research at IROS 2026
At IROS 2026, Zhijian Dynamics debuted a real-robot demonstration of its self-developed world action model SimpleWAM, with the i7 Pro running on-device to complete tasks such as tape sealing and box packing; the i7 Pro and iX demonstrated motion control capabilities together on site.
Singularity Hub ·
KAIST quadruped robot RAIBO2 completes marathon without battery swap, ~40 miles per charge
KAIST's quadruped robot RAIBO2 finished the Persimmon Marathon in Sangju, South Korea, in 4 hours 19 minutes 52 seconds, slightly faster than the human average, without swapping or recharging its battery, and still had 34% charge at the finish; the team described the work in a Nature paper last week.
至简动力 · 微信公众号 ·
Simplexity Robotics releases and open-sources world-action model SimpleWAM, with 6B model achieving on-device inference as low as 42.31ms
Simplexity Robotics has launched and open-sourced the world-action model SimpleWAM; the 6B-parameter version reduces inference latency on NVIDIA ThorX (T5000) from 181.23ms to 42.31ms, enabling high-frequency closed-loop operation on-device at nearly 24Hz.
PsiBot/灵初智能 ·
Lingchu Intelligence releases Psi-R2.5, using strong Pair Data to solve human-machine data alignment challenges
Lingchu Intelligence has officially released its embodied model Psi-R2.5, which uses a two-tier architecture with a QwenVL3.5-4B high-level planner plus a Wan2.2-IT2V-5B low-level controller, and proposes the strong Pair Data standard. The model reverse-invokes the Psi-W0 world model to generate human demonstration videos backward from real-robot data, enabling mass production of paired data, and supports in-context learning (ICL) for zero-shot generalization to new tasks. It comes with a HIL+RL post-training framework and is claimed to raise task success rates to 99% after a few iterations taking only 1-2 working days, and has already been deployed at customer sites.
Skild AI ·
Skild AI releases physical self-play post-training results; S1 model learns soccer in simulation and transfers to humanoid robots
Skild AI announced that it post-trained its foundation model S1 through physical self-play, letting the policy play against a recent version of itself with scoring as its sole objective. In NVIDIA Isaac Sim, over 140 years of simulated time, it learned skills such as dribbling past opponents, shielding the ball, and tackling, and these skills were successfully transferred to humanoid robots for matches. The authors believe self-play can break through the capability ceiling of pretrained human data, and the next step will be to extend it to everyday tasks such as collaborative manipulation and city-scale navigation.
MagicLab/魔法原子 ·
MagicLab analyzes Magic-Brain's in-context visual guidance design; magicVLA grasp success rate rises from 70% to 94.4%
MagicLab introduces the visual guidance approach in the Magic-Brain framework: a VLM Agent outputs a bbox, and a segmentation model refines it into a three-color mask overlaid on the observation image, converting semantic guidance into visual guidance.
PsiBot/灵初智能 ·
Psi Robotics Releases Psi-R2.5 Model: Scaling Human Data for Embodied Intelligence with Strong Pair Data
Psi Robotics released the Psi-R25 robot manipulation model. Its core upgrades are improved data quality and data attribute compression: it reviewed and extracted high-quality data from 100,000 hours of data, and used strong pair data to align human data with robot data.
Figure AI ·
Figure AI releases Helix 2.5, achieving zero-shot full-body autonomy in 30 unfamiliar homes
Figure AI released Helix 2.5, which completed three long-horizon full-body behaviors—tidying a living room, folding towels, and making a bed—zero-shot in 30 Bay Area homes where no data had ever been collected, without collecting data or fine-tuning in the evaluation environments.
小鹏机器人 ·
XPeng XOS 6.3.0 OTA Deploys Second-Generation VLA Upgrade, Adds InfiniVLA and X-Foresight World Model
XPeng XOS 6.3.0 deploys a second-generation VLA upgrade via OTA, restructuring the model architecture around the time dimension: InfiniVLA lets historical visual information continuously participate in current judgments, with the vehicle side selecting 30 seconds of historical context alongside streaming autoregressive inference.
Dexmal 原力灵机 · 微信公众号 ·
Force Spirit DM0.5 Tops All Four RoboColiseum Leaderboards
Force Spirit announced that DM0.5 has topped all four RoboColiseum leaderboards (instruction following, spatial understanding, perturbation adaptation, and general manipulation), making it the only model on the leaderboards to rank first in every evaluation.
PKU EPIC Lab ·
PKU EPIC Lab proposes UniPart for zero-shot language-driven 3D part segmentation
PKU EPIC Lab proposes UniPart, a feed-forward cross-modal 3D Transformer conditioned on CLIP text embeddings that uses free-text phrases to select functional parts on point clouds, achieving zero-shot language-driven 3D part segmentation.
云启资本 ·
Yunqi Podcast Roundtable: Three Embodied AI Founders Discuss World Models, Scaling, and Deployment Bottlenecks
During the World Robot Conference, Yunqi Capital co-hosted a themed roundtable with SEE Fund, which was included in the podcast Attent!on. Three founders—Xu Huazhe of PokeBot, Li Qiang of Quantum Dynamics, and Liu Nianqiu of Feimo Yi Technology—shared their views on world models, scaling, and deployment.
Skild AI ·
Skild AI annual recurring revenue tops $100 million, outlines deployment-first robotics strategy
Skild AI announced that its annual recurring revenue (ARR) has surpassed $100 million, of which $50 million was confirmed within 10 months of starting deployments. It has more than 60 paying customers, covering material handling, delivery, inspection, security, food service, and warehouse, factory, and data center scenarios; about 90% of revenue comes from manipulation tasks, with mobility accounting for 10% (of which AMR solutions account for 4%).
PKU EPIC Lab ·
GIF: An agentic generation framework for interactive and functional object compositions for robot learning
PKU EPIC Lab proposes GIF, an agentic generation framework for robot learning that reframes the problem as disentangled reconstruction followed by relative pose recovery. CoGen combines 2D and 3D generative models to produce instance-disentangled meshes and coarse initial poses; GPRM refines the relative poses under joint geometric and physical guidance; and a VLM verifier selects the candidate that best matches the structured specification.