abseef-act-rel is an open-source imitation learning model for robotics, designed to predict action chunks from teleoperated data. It enables researchers to train, evaluate, and deploy policies for robotics control using transformer-based architectures.
Abseef Act Rel is an Other AI project. It focuses on enabling robotics researchers to use imitation learning models for action chunking and policy inference. Abseef Act Rel is an open-source project aimed at robotics researchers. Abseef Act Rel is open source under the Open Source license. It ships for the web and the command line, and it can be self-hosted.
bryce-gl builds and maintains Abseef Act Rel, and it first shipped in 2024. Among its 5 catalogued features are imitation learning, action chunking, and robotics policy.
Summary written by a language model from the project’s public pages.
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