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+ ---
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+ license: mit
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+ tags:
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+ - robotics
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+ - diffusion-policy
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+ - imitation-learning
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+ - manipulation
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+ ---
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+
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+ # UMI-on-Air - Pre-trained Checkpoints
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+
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+ Pre-trained diffusion policy checkpoints for **UMI-on-Air: Embodiment-Aware Guidance for Embodiment-Agnostic Visuomotor Policies**.
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+
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+ 📄 **Paper:** [UMI-on-Air (PDF)](https://umi-on-air.github.io/static/umi-on-air.pdf) | [arXiv](https://arxiv.org/abs/2510.02614)
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+
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+ 🌐 **Project Website:** [umi-on-air.github.io](https://umi-on-air.github.io/)
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+
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+ 💻 **Code:** [GitHub](https://github.com/LeCAR-Lab/UMI-on-Air)
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+
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+ ## Checkpoints Included
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+
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+ | Task | Description |
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+ |------|-------------|
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+ | `umi_cabinet` | Cabinet door opening task |
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+ | `umi_peg` | Peg insertion task |
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+ | `umi_pick` | Object picking task |
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+ | `umi_valve` | Valve turning task |
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+
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+ ## Usage
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+
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+ ```bash
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+ # Download and extract
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+ wget https://huggingface.co/LeCAR-Lab/umi-on-air_checkpoints/resolve/main/checkpoints.tar.gz
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+ tar -xzf checkpoints.tar.gz
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+ ```
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+
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+ Each checkpoint folder contains:
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+ - `checkpoints/latest.ckpt` - Model weights
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+ - `normalizer.pkl` - Data normalization parameters
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+ - `.hydra/config.yaml` - Training configuration
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+
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+ ## Citation
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+
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+ If you use these checkpoints, please cite our work:
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+
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+ ```bibtex
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+ @misc{gupta2025umionairembodimentawareguidanceembodimentagnostic,
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+ title={UMI-on-Air: Embodiment-Aware Guidance for Embodiment-Agnostic Visuomotor Policies},
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+ author={Harsh Gupta and Xiaofeng Guo and Huy Ha and Chuer Pan and Muqing Cao and Dongjae Lee and Sebastian Sherer and Shuran Song and Guanya Shi},
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+ year={2025},
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+ eprint={2510.02614},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.RO},
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+ url={https://arxiv.org/abs/2510.02614},
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+ }
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+ ```
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+