pick-the-nut-from-above_act-policy-v1 is an open-source imitation learning policy model for robotics, designed for action chunking and efficient task learning. It integrates with LeRobot and is suitable for robotics researchers and AI developers seeking pretrained policies for experimentation and deployment.
In the Other AI space, Pick The Nut From Above Act Policy takes a focused approach. It focuses on providing a pretrained imitation learning policy for robotics researchers to enable action chunking and efficient task learning. It is built as an open-source project for robotics researchers and AI developers. Pick The Nut From Above Act Policy is open source under the Apache-2.0 license. It runs on the web and the command line, and it can be self-hosted.
Behind Pick The Nut From Above Act Policy is MakinoKF, and the product first shipped in 2024. Development happens publicly on GitHub with 25.9k stars and 157 commits in the last 90 days. Key capabilities include imitation learning, robotics policy, and leRobot integration.
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