camgap-act-rf-rel-fast-n500 is an open-source imitation learning policy for robotics, implementing action chunking with transformers. Distributed via Hugging Face, it allows researchers and developers to train, evaluate, and deploy robotic policies for manipulation tasks. The model supports integration with robotics frameworks and fine-tuning for custom use cases.
Camgap Act Rf Rel Fast N500 sits in PulseGate's Other AI category. It focuses on enabling robotics researchers to use and fine-tune an open-source imitation learning policy for action chunking tasks. It is built as an open-source project for robotics researchers and developers. Camgap Act Rf Rel Fast N500 is open source under the Apache-2.0 license. The product ships for the web, API, and the command line, and it can be self-hosted.
Behind Camgap Act Rf Rel Fast N500 is bryce-gl, and the product first shipped in 2024. Development happens publicly on GitHub with 25.8k stars and 158 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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