binhpham/reachy-mini-massive-motion-library
Reachy Mini Massive Motion Library 10,872 episodes (15.1 h at 25 fps). Each one is a prompt performed by Reachy Mini: the teacher's motion recipe, turned into 25 Hz motion by the plan-to-motion flow generator, projected onto the robot's reachable set, and rendered in MuJoCo with the official model. source episodes what astra 5,000 5,000 individually authored scenarios (Astra) astra_lively 5,000 the same 5,000 prompts re-authored in the lively house style (Codex… See the full description on the dataset page: https://huggingface.co/datasets/binhpham/reachy-mini-massive-motion-library.
Reachy Mini Massive Motion Library
10,872 episodes (15.1 h at 25 fps). Each one is a prompt performed by Reachy Mini: the teacher's motion recipe, turned into 25 Hz motion by the plan-to-motion flow generator, projected onto the robot's reachable set, and rendered in MuJoCo with the official model.
observation.state/action: the 9-DoF target trajectory[x y z roll pitch yaw antenna_right antenna_left body_yaw](metres / radians). Play it with the SDK by converting to a recorded move.task: the prompt.meta/teacher_rows.jsonlgives each episode'ssource,family,ideaandrecipe.astraandastra_livelycontain the same 5,000 prompts performed in two styles: the original choreography, and a re-authored "lively" version with more energy, rhythm and ear expression.
Known issue: in 29 of the 10,872 episodes the video encoder dropped one frame, so observation.images.front is one frame shorter than observation.state / action (which are complete).
Pipeline: LLM planner -> motion recipe -> plan -> flow-matching generator -> reachability projection -> MuJoCo render.
