pick_red_cube_act is an open-source imitation learning model for robotics, trained to predict action chunks from teleoperated data. It is compatible with LeRobot and designed for researchers and developers working on robotic control and policy learning.
Pick Red Cube Act sits in PulseGate's Other AI category. It focuses on enabling robotic systems to learn and execute action chunks from teleoperated data using imitation learning. Pick Red Cube Act is an open-source project aimed at robotics researchers and developers. The project is open source (Apache-2.0). It runs on the web and API, and it can be self-hosted.
Behind Pick Red Cube Act is kinghanse, 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, Pick Red Cube Act has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are imitation learning, action chunking, and robotics.
Latest indexed changes and source events
kinghanse/pick_red_cube_act discovered by the PulseGate indexer
