This Hugging Face model provides an imitation-learning policy for robotics, predicting action chunks from teleoperated data. It is open source and can be integrated into robotics workflows via API or CLI, supporting research and development in robotics automation.
Act Top Down 50 Augmentation sits in PulseGate's Other AI category. Enabling developers to implement imitation-learning-based action chunking in robotics applications. It is built as an open-source project for robotics developers and AI researchers. Act Top Down 50 Augmentation is open source under the Apache-2.0 license. Act Top Down 50 Augmentation is available on the web, API, and the command line.
It is developed by siangyi-br, and the product first shipped in 2024. Development happens publicly on GitHub with 25.7k stars and 164 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Act Top Down 50 Augmentation occupies a relatively distinct niche. Key capabilities include imitation learning, action chunking, and robotics policy.
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