camgap-act-b-act-n500 is an open-source imitation-learning model designed for robotics applications, predicting short action chunks from teleoperated data. It helps robotics researchers implement advanced action chunking policies and supports integration with libraries like LeRobot and Colab for training and evaluation.
Camgap Act B Act N500 sits in PulseGate's Other AI category. It enables robotics developers to implement imitation-learning policies for chunked action prediction. It is built as an open-source project for robotics researchers. Camgap Act B Act N500 is open source under the Apache-2.0 license. It runs on the web, API, and the command line.
It is developed by bryce-gl, and the product first shipped in 2024. Development happens publicly on GitHub with 25.7k stars and 164 commits in the last 90 days. It operates in a well-populated space: PulseGate tracks 19 similar tools. Key capabilities include imitation learning, action chunking, and robotics policy.
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