ScheiklP / movement-primitive-diffusion

Movement Primitive Diffusion (MPD) is a diffusion-based imitation learning method for high-quality robotic motion generation that focuses on gentle manipulation of deformable objects.

Date Created 2024-03-18 (9 months ago)

Commits 15 (last one 2 months ago)

Stargazers 25 (0 this week)

Watchers 2 (0 this week)

Forks 4

License mit

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RepositoryStats indexes 595,856 repositories, of these ScheiklP/movement-primitive-diffusion is ranked #589,326 (1st percentile) for total stargazers, and #485,301 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #118,058/119,431.

ScheiklP/movement-primitive-diffusion is also tagged with popular topics, for these it's ranked: robotics (#1,279/1287)

Other Information

Homepage URL: https://scheiklp.github.io/movement-primitive-diffusion/

All Topics

robotics diffusion generative-model imitation-learning visuomotor-control

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15 commits on the default branch (main) since jan '22

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The only known language in this repository is Python

updated: 2024-11-29 @ 05:20am, id: 773730593 / R_kgDOLh4xIQ