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awesome-diffusion-policy-family

Awesome Maintenance PR's Welcome GitHub license


Welcome to the Awesome Diffusion Policy Family repository! This collection aims to gather and organize representative research papers related to Diffusion Policies (DP) in robotics.

🚨 Note: Please be aware that the acceptance status of papers might not be up-to-date.
💬 Feel free to PR by this Google Form if you found any missing papers!

Scope

This is a curated list of peer-reviewed papers that contribute to the field of robotics through the application of Diffusion Policies. By including only accepted conference and journal papers, we ensure that the content is of the highest quality.

🏆Seminal work

🗃️Recent Research

[Latest Update: 2024/10/25☕]

Visuomotor

Efficient

Hierarchical

Equivariant

Heterogeneous

Data Quality

Hardware

Planning

Offline RL

📄arXiv

License

This project is licensed under the MIT License.

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Exploring awesome family of Diffusion Policy (DP) in robotics.

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