241-diffusion-policy-visuomotor-policy-learning-via-action-diffusion

https://github.com/szu-advtech-2024/241-diffusion-policy-visuomotor-policy-learning-via-action-diffusion

Science Score: 31.0%

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Metadata Files
Citation

https://github.com/SZU-AdvTech-2024/241-Diffusion-Policy-Visuomotor-Policy-Learning-via-Action-Diffusion/blob/main/

# Diffusion Policy 

## 

 Metaworld  `shelf-place-v2` 

## 

- Python 3.10
- PyTorch 1.13.1
- torchvision 0.14.1
- diffusers
- huggingface_hub
- scikit-image 0.19.3
- scikit-video 1.1.11
- zarr
- numcodecs
- gym 0.26.2
- pygame 2.1.2
- pymunk 6.2.1
- shapely 1.8.4

## 

metaworld_expert.ipynb metaworldzarr

diffusion_policy_vision_resnet+tf_shelf_place.ipynb resnet+transformermetaworld

diffusion_policy_vision_resnet+unet_shelf_place.ipynb resnet+Unetmetaworld

Owner

  • Name: SZU-AdvTech-2024
  • Login: SZU-AdvTech-2024
  • Kind: organization

Citation (citation.txt)

@inproceedings{REPO241,
    author = "Chi, Cheng and Feng, Siyuan and Du, Yilun and Xu, Zhenjia and Cousineau, Eric and Burchfiel, Benjamin and Song, Shuran",
    editor = "Bekris, Kostas E. and Hauser, Kris and Herbert, Sylvia L. and Yu, Jingjin",
    booktitle = "Robotics: Science and Systems XIX, Daegu, Republic of Korea, July 10-14, 2023",
    title = "{Diffusion Policy: Visuomotor Policy Learning via Action Diffusion}",
    year = "2023"
}

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