act_slow is an open-source robotics model that implements action chunking with transformers for imitation learning. It is designed for robotics researchers and developers who want to train and deploy advanced policies for robotic control tasks.
Act Slow is an Other AI product. It focuses on enabling robotics developers to implement action chunking policies using transformer-based imitation learning. Act Slow 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 the command line.
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 159 commits in the last 90 days. Across PulseGate's embedding index, Act Slow has few near neighbours, marking it as relatively distinct. Among its 4 catalogued features are imitation learning, action chunking, and robotics policy.
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