so101_pick_cube_v2_act is an open-source robotics model implementing action chunking with transformers for imitation learning. It predicts short action sequences for robotic manipulation, enabling efficient policy inference and training. Designed for robotics researchers and developers, it integrates with LeRobot and supports evaluation and further training.
So101 Pick Cube V2 Act is an Other AI product. It enables robotics researchers to apply imitation learning for chunked action prediction in robotic manipulation tasks. It is built as an open-source project for robotics researchers. So101 Pick Cube V2 Act is open source under the Apache-2.0 license. It runs on the web, API, and the command line.
Graham001 builds and maintains So101 Pick Cube V2 Act, and the product first shipped in 2024. Development happens publicly on GitHub with 25.8k stars and 155 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 6 similar tools. Key capabilities include imitation learning, action chunking, and policy inference.
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