intuitive-robots/beso
[RSS 2023] Official code for "Goal Conditioned Imitation Learning using Score-based Diffusion Policies"
This project helps robotics researchers and engineers train robots to perform complex, goal-oriented tasks by observing demonstrations, even when the exact steps aren't explicitly taught. It takes in recorded demonstrations of a robot completing a task and outputs a trained 'policy' that allows the robot to autonomously achieve similar goals. Anyone working on robot learning, particularly in areas like manipulation or assistive robotics, would find this useful.
No commits in the last 6 months.
Use this if you need to teach a robot new skills efficiently by showing it examples, rather than programming every step.
Not ideal if you're looking for a fully pre-built, production-ready robot control system for a specific commercial application without any development.
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89
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9
Language
Python
License
MIT
Category
Last pushed
Dec 01, 2023
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