r-maker/my_test_episode_30_act_policy is an open-source imitation learning policy for robotics, designed to predict short action chunks from teleoperated data. It is available on Hugging Face for integration with robotics frameworks and supports research and development in autonomous robot control.
In the Other AI space, takes a focused approach. It enables robotics developers to implement imitation learning policies for action chunking in robots without building models from scratch. It is built as an open-source project for robotics researchers and developers. is open source under the Apache-2.0 license. It runs on the web and API.
Behind is r-maker, and the product first shipped in 2024. Development happens publicly on GitHub with 25.9k stars and 158 commits in the last 90 days. Key capabilities include imitation learning, action chunking, and robotics integration.
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