camgap-act-s-act-n500 is an open-source imitation learning model for robotics, designed to predict action chunks from teleoperated data. It is suitable for robotics researchers and developers seeking to implement advanced policy learning in their projects.
Camgap Act S Act N500 is an Other AI product. It focuses on enabling efficient imitation learning for robotics by predicting action chunks from teleoperated data. Camgap Act S Act N500 is an open-source project aimed at robotics researchers and developers. The project is open source (Apache-2.0). Camgap Act S Act N500 is available on the web and the command line, and it can be self-hosted.
Behind Camgap Act S Act N500 is bryce-gl, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.7k stars and 164 commits in the last 90 days. It competes in a saturated segment with 20 similar apps in PulseGate's index. Among its 5 catalogued features are imitation learning, action chunking, and robotics policy.
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