so101-button-touching-policy-ideal-25 is an open-source robotics policy model for button-touching tasks, designed for use with the LeRobot library. It leverages imitation learning and action chunking to improve task performance, supporting robotics research and development.
So101 Button Touching Policy Ideal 25 is an Other AI product. It provides a pretrained robotics policy for button-touching tasks, facilitating research and deployment in robotics. So101 Button Touching Policy Ideal 25 is an open-source project aimed at robotics researchers and developers. The project is open source (Apache-2.0). So101 Button Touching Policy Ideal 25 is available on the web and the command line.
It is developed by GoldenPeel, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.8k stars and 155 commits in the last 90 days. Across PulseGate's embedding index, So101 Button Touching Policy Ideal 25 has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are robotics policy, button-touching task, and leRobot integration.
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