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Improve model card and add robotics pipeline tag

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Hi! I'm Niels, part of the community science team at Hugging Face.

This PR improves the model card for SafeVLA by adding:
- The `robotics` pipeline tag to improve discoverability on the Hub.
- Links to the project page and official GitHub repository.
- A brief summary of the model's purpose based on the paper.

This helps users better understand and use your model artifacts.

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  1. README.md +12 -3
README.md CHANGED
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  ---
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  license: apache-2.0
 
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  ---
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- ## Paper
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- [arXiv:2503.03480](https://arxiv.org/abs/2503.03480)
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- ```bash
 
 
 
 
 
 
 
 
 
 
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  @inproceedings{zhang25safevla,
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  title={SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning},
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  author={Borong Zhang and Yuhao Zhang and Jiaming Ji and Yingshan Lei and Josef Dai and Yuanpei Chen and Yaodong Yang},
 
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  ---
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  license: apache-2.0
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+ pipeline_tag: robotics
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  ---
 
 
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+ # SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning
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+ [**Project Page**](https://pku-safevla.github.io) | [**Paper**](https://arxiv.org/abs/2503.03480) | [**GitHub**](https://github.com/PKU-Alignment/SafeVLA)
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+ SafeVLA is a family of vision-language-action models (VLAs) aligned for safety using an integrated safety approach (ISA). By modeling safety requirements and utilizing safe reinforcement learning within a constrained Markov decision process (CMDP) paradigm, SafeVLA explicitly integrates safety constraints into generalist robot policies. The model achieves an effective balance between task performance and safety violation mitigation, handling long-tail risks and extreme failure scenarios in mobile manipulation tasks.
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+ ## Citation
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+
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+ If you find our code or models useful in your work, please cite our paper:
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+ ```bibtex
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  @inproceedings{zhang25safevla,
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  title={SafeVLA: Towards Safety Alignment of Vision-Language-Action Model via Constrained Learning},
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  author={Borong Zhang and Yuhao Zhang and Jiaming Ji and Yingshan Lei and Josef Dai and Yuanpei Chen and Yaodong Yang},