pick-the-nut-from-2direction-dataset_act-policy-v1 is an open-source model for imitation learning in robotics, focusing on action chunking for policy learning. It is designed for researchers and developers working on robotic control and is accessible via API and CLI.
Pick The Nut From 2direction Dataset Act Policy sits in PulseGate's Other AI category. It enables robotics researchers to train and evaluate action policies using imitation learning from teleoperated data. Pick The Nut From 2direction Dataset Act Policy is an open-source project aimed at robotics researchers and developers. The project is open source (Apache-2.0). Pick The Nut From 2direction Dataset Act Policy is available on the web, API, and the command line.
Behind Pick The Nut From 2direction Dataset Act Policy is MakinoKF, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.8k stars and 157 commits in the last 90 days. Among its 5 catalogued features are imitation learning, robotics policy, and action chunking.
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