act_slow_v3 is an open-source imitation learning model for robotics, designed to predict and execute action chunks from teleoperated demonstrations. It helps robotics researchers and developers implement advanced control policies using LeRobot and similar tools.
Act Slow sits in PulseGate's Other AI category. It focuses on allowing robots to learn and execute complex actions from demonstration data using chunked imitation learning. Act Slow is an open-source project aimed at robotics researchers. The project is open source (Apache-2.0). Act Slow is available on the web and API.
Behind Act Slow is siangyi-br, 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. Among its 5 catalogued features are imitation learning, action chunking, and robotics policy.
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