Type a name, or just describe what you need. Results blend keyword and meaning-based search. 25 matches, each with an EU availability status.
Model · Google DeepMind
Google DeepMind family of robot models: a VLA, ER 2 for reasoning and planning, and On-Device 2 for offline use.
Model
27B vision-language robot policy trained only in simulation, run zero-shot on a real bimanual robot.
Model · Unitree
Unitree's 6B-parameter vision-language-action foundation model for humanoid robots, covering 64 tabletop and whole-body tasks.
Model · Skild AI
Skild AI's robotic foundation model that performs new tasks from a single video demonstration, with no fine-tuning.
Model · Xiaomi
Open-weights Vision-Language-Action robot foundation model from Xiaomi, pre-trained on 100K+ hours of UMI trajectories.
Model · Sunday Robotics
Robot control model from Sunday Robotics for household tasks such as laundry folding, reportedly running offline.
Library
Open-source robotics toolkit of four libraries: motion planning, motion retargeting, grasping and agent skills.
Embodied harness from NUS Show Lab that lets vision-language models control robots via discrete semantic action units.
Research model that turns a pretrained video diffusion model into a latent action learner for human-to-robot motion transfer.
Research · Google
Google DeepMind research demo in which a Gemini-based robot learned to play cornhole from first-person videos and practice.
Research · Skild AI
Skild AI research result: humanoid soccer policy trained by self-play in Isaac Sim on the S1 model, transferred to a real robot.
Model · Black Forest Labs
7B open-weights world action model from Black Forest Labs that jointly predicts video and actions for robot control.
Research
Research framework letting a frozen VLM agent learn robot tasks in context from videos, images and feedback, no fine-tuning.
Model · Dyna Robotics
World-action model from Dyna Robotics pre-trained on over 1 million hours of egocentric human video for robot manipulation.
Model · Perceptron
Perceptron's vision-language model for physical AI, covering perception, physical reasoning and robot action prediction.
Model · Generalist AI
Robot foundation model from Generalist AI that learns new tasks in-context from a short demonstration.
Research · Invideo
Research system from Invideo that writes robot control code, repairs failures and stores fixes in a reusable skill library.
Hierarchical humanoid loco-manipulation framework that chains meta-skills via contact flow, accepted to CoRL 2026.
Research method that retargets human hand-object demonstrations to dexterous robot hands using one multi-reference RL policy.
Research · Archon
Research system for two humanoid robots playing table tennis doubles with safe team coordination.
Model · NVIDIA
NVIDIA's open omni-model family for physical AI: world simulation, reasoning and action generation for robots and AVs.
Action-conditioned robotics world model fine-tuned from Cosmos-Predict2.5-2B using 2D skeleton conditioning across embodiments.
Hardware · Ant Group
Low-cost upper-limb exoskeleton for teleoperating robot arms with real-time haptic torque feedback, from Ant Group-backed research.
Research · BitRobot Foundation
Open dataset of 500+ hours of whole-body teleoperated Unitree G1 humanoid data recorded in real homes.
