Fifty real pick-and-place episodes from a low-cost SO-100/SO-101-class arm, recorded at 30 fps with a side camera and a top-down camera, and used as the SmolVLA fine-tuning example.
nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim
Indexed from Hugging FaceLinked to its home on Hugging Face. FrontierOS indexes it; nothing is hosted or mirrored here.About
NVIDIA's simulated trajectory sets for post-training GR00T, covering bimanual Panda, Fourier GR1 humanoid tabletop, single-arm Panda kitchen, BEHAVIOR R1 Pro household and Unitree G1 tasks, each stored as a LeRobot-style folder.
Why it matters for physical AI
It is the ready-made post-training data for GR00T and a large open source of synthetic humanoid manipulation data.
Summary written by FrontierOS in our own words. The upstream card and license govern use. Metadata checked 27 Sep 2026. Read the full card on Hugging Face
Files, weights and version history live on Hugging Face. FrontierOS indexes this repo; it does not host or mirror it.
hf download nvidia/PhysicalAI-Robotics-GR00T-X-Embodiment-Sim --repo-type datasetUses the Hugging Face CLI (pip install -U huggingface_hub). This downloads the whole repo; add --include "<pattern>" to fetch only the files you need.
Open humanoid data is still scarce. What are you training on?
The permissive options are few: Humanoid Everyday for real teleoperation, NVIDIA's GR00T simulation sets, and large egocentric human video as a proxy.
More robot demonstrations
Browse allA filtered collection of 128 SO-100 datasets from 55 community contributors (about 11k episodes and 5.1M frames), with hand-cleaned task descriptions, released as the pretraining subset for SmolVLA.
About 200 human demonstrations in a 2D simulation where a round pusher slides a T-shaped block onto a target outline, stored in LeRobot v3 format.