act_so101_rubik_v4 is an open-source imitation learning model for robotics, trained to predict action chunks from teleoperated data. It can be deployed locally via LeRobot or CLI tools, supporting robotics researchers in developing advanced robot behaviors.
Act So101 Rubik is an Other AI product. It focuses on enabling robots to learn and execute complex actions from teleoperated data using open-source models. Act So101 Rubik is an open-source project aimed at robotics researchers. The project is open source (Apache-2.0). Act So101 Rubik is available on the web and the command line, and it can be self-hosted.
It is developed by sirius-lerobot, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.8k stars and 155 commits in the last 90 days. Across PulseGate's embedding index, Act So101 Rubik has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are imitation learning, action chunking, and robotics policy.
Latest indexed changes and source events
sirius-lerobot/act_so101_rubik_v4 discovered by the PulseGate indexer
