reactive_diffusion_policy
[RSS 2025] Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
Experiment with a policy learning method for robots that involves visual and tactile feedback.
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reactive_diffusion_policy has 359 stars on GitHub. It has been forked 25 times. reactive_diffusion_policy is written mainly in Python. It has been in active development since 2025. Its main topics are force, imitation-learning, robotics, tactile.
What is reactive_diffusion_policy?
[RSS 2025] Reactive Diffusion Policy: Slow-Fast Visual-Tactile Policy Learning for Contact-Rich Manipulation
Is reactive_diffusion_policy open source?
reactive_diffusion_policy is an open-source project.
Is reactive_diffusion_policy free?
Yes. reactive_diffusion_policy is free and open source — you can use, modify and self-host it.
What language is reactive_diffusion_policy written in?
reactive_diffusion_policy is written mainly in Python.
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