ankile/imitation-juicer
Enabling robots to perform long-horizon dexterous tasks with imitation learning
This project helps roboticists teach robots to perform complex, multi-step assembly tasks more efficiently. By providing demonstrations of a task (like assembling furniture) using a 3D SpaceMouse, the system learns from these examples. The output is a trained robotic agent capable of performing these dexterous tasks autonomously, which is ideal for researchers and engineers working with robotic automation.
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Use this if you are a roboticist or automation engineer looking to rapidly train robots for precise, long-horizon assembly tasks by demonstrating the actions yourself.
Not ideal if you need a plug-and-play solution for immediate deployment, as it requires significant setup and expertise in robotics simulation environments.
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41
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5
Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 09, 2024
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