smolvla-chip-clip-cleanup is an open-source AI model designed for robotics policy learning, particularly for manipulation tasks. It can be integrated with the LeRobot framework for training and inference, supporting both local and cloud-based deployment. The model is suitable for robotics researchers and developers seeking to accelerate policy development and experimentation.
Smolvla Chip Clip Cleanup sits in PulseGate's Other AI category. It enables robotics researchers and developers to train and deploy policy models for robotic manipulation tasks without building models from scratch. It is built as an open-source project for robotics researchers and developers. Smolvla Chip Clip Cleanup is open source under the Apache-2.0 license. It runs on the web, the command line, and API, and it can be self-hosted.
Behind Smolvla Chip Clip Cleanup is jackcbrown89, and the product first shipped in 2024. Development happens publicly on GitHub with 25.8k stars and 157 commits in the last 90 days. Key capabilities include policy learning, robotics integration, and leRobot support.
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