pick-the-1washer-dataset_act-policy-v1 is an open-source imitation-learning model for robotics, focusing on action chunking from teleoperated data. It is designed for researchers and developers to train, evaluate, and deploy advanced robotic control policies.
Pick The 1washer Dataset Act Policy sits in PulseGate's Other AI category. It enables roboticists to train and deploy imitation-learning models for efficient action chunking in robotics. It is built as an open-source project for robotics researchers and developers. Pick The 1washer Dataset Act Policy is open source under the Apache-2.0 license. Pick The 1washer Dataset Act Policy is available on the web, API, and the command line, and it can be self-hosted.
Behind Pick The 1washer Dataset Act Policy is MakinoKF, and the product first shipped in 2024. Development happens publicly on GitHub with 25.8k stars and 157 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Pick The 1washer Dataset Act Policy occupies a relatively distinct niche. Key capabilities include imitation learning, action chunking, and robotic control.
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