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# Rice RobotΠ Lab
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**Where robots Physically Interact with the world.**
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The Rice RobotΠ Lab at Rice University, led by Prof. Kaiyu Hang, studies how robots can physically interact with an uncertain, contact-rich world. Our work spans manipulation planning, interactive perception, learning from in-the-wild video, and benchmarking infrastructure for the field.
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## What you'll find here
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This Hugging Face organization hosts the lab's open-source datasets, interactive demos, and model artifacts. For papers, members, and full project listings, please visit our [lab website](https://robotpilab.github.io/).
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### On Hugging Face
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- **EgoInfinity** *(coming soon)*: Large-scale automated reconstruction of 3D hand-object interactions from in-the-wild egocentric video, designed for scaling up robot training data.
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### Other ongoing lab projects
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- [**ManiDreams**](https://robotpilab.github.io/post/manidreams/): Open-source modular framework for uncertainty-aware manipulation planning over intuitive physics models.
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- [**ManipulationNet**](https://robotpilab.github.io/post/manipulationnet/): Community-driven global infrastructure for benchmarking robot manipulation research at scale.
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## Links
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- 🌐 [Lab website](https://robotpilab.github.io/)
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- 💻 [GitHub](https://github.com/Rice-RobotPI-Lab)
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- 📝 [Publications](https://robotpilab.github.io/publication/)
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- 📨 [Join the lab](https://robotpilab.github.io/join/)
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## Contact
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robotpilab@gmail.com
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