AI product Open source
Phyzical is a browser-based robot teleoperation data platform for embodied-AI training. Users control simulated robot arms through a web interface; inverse kinematics converts end-effector movements into joint actions, while sessions record demonstration trajectories containing joint positions, end-effector poses, object poses, and actions at 30–60 Hz. Episodes use a documented JSON Schema format and can be converted with the included Python tool into elizaOS-compatible SQLite trajectory databases for imitation learning and related robot-training pipelines. The project also documents quality checks and on-chain episode provenance using a data ID, content hash, and contributor, and includes human, scripted, and Fly-controller action sources. The repository is MIT-licensed and provides the converter and example episodes; it requires Python 3.10 or later and has no external dependencies for the quickstart converter.
1 use taken from transcripts — each links to the moment in the video.
Connects browser-based robot demonstrations to training pipelines by recording simulated arm motions, actions, and object poses, and provides an episode format and converter for SQLite records.
1 in the library.