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README.md

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<div>
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<a href="https://mmlab.hk/research/kai0" target="_blank"><img src="https://img.shields.io/badge/Blog_Page-green" alt="Blog Page"></a>
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<a href="https://github.com/OpenDriveLab/kai0"><img alt="Repo" src="https://img.shields.io/badge/github-repo-blue?logo=github"/></a>
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<a href="https://arxiv.org/abs/2602.09021" target="_blank"><img src="https://img.shields.io/badge/arXiv-2602.09021-b31b1b" alt="arXiv"></a>
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<img alt="ModelScope" src="https://img.shields.io/badge/ModelScope-Kai0_Model-purple"/>
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χ₀ (**kai0**) is a resource-efficient framework for achieving production-level robustness in robotic manipulation by taming distributional inconsistencies. This repository is built on top of [openpi](https://github.com/Physical-Intelligence/openpi), the open-source models and packages for robotics published by the [Physical Intelligence team](https://www.physicalintelligence.company/).
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- [Quick Start](#quick-start)
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- [Stage Advantage (Coming Soon)](#stage-advantage-coming-soon)
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- [Train-Deploy Alignment (Coming Soon)](#train-deploy-alignment-coming-soon)
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- [Citation](#citation)
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- [Citation](#licenseandcitation)
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- [Troubleshooting](#troubleshooting)
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- [Links and Community](#links-and-community)
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**This module is currently under refinement and will be released soon.**
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## Citation
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## License and Citation
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If you find χ₀ useful in your research, please consider citing:
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All assets and code in this repository are under the Apache 2.0 license unless specified otherwise. The data and checkpoint are under CC BY-NC-SA 4.0. Other modules (including PaliGemma) inherit their own distribution licenses. If you find χ₀ useful in your research, please consider citing:
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```bibtex
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@article{sima2026kai0,

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