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--- |
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license: apache-2.0 |
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pipeline_tag: robotics |
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library_name: transformers |
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--- |
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# Mantis |
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> This is the official checkpoint of **Mantis: A Versatile Vision-Language-Action Model |
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with Disentangled Visual Foresight** |
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- **Paper:** https://arxiv.org/pdf/2511.16175 |
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- **Code:** https://github.com/zhijie-group/Mantis |
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### 🔥 Highlights |
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- **Disentangled Visual Foresight** augments action learning without overburdening the backbone. |
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- **Progressive Training** preserves the understanding capabilities of the backbone. |
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- **Adaptive Temporal Ensemble** reduces inference cost while maintaining stable control. |
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### How to use |
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This is the base Mantis model. For detailed usage please refer to [our repository](https://github.com/zhijie-group/Mantis). |
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### 📝 Citation |
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If you find our code or models useful in your work, please cite [our paper](https://arxiv.org/pdf/2511.16175): |
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``` |
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@article{yang2025mantis, |
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title={Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight}, |
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author={Yang, Yi and Li, Xueqi and Chen, Yiyang and Song, Jin and Wang, Yihan and Xiao, Zipeng and Su, Jiadi and Qiaoben, You and Liu, Pengfei and Deng, Zhijie}, |
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journal={arXiv preprint arXiv:2511.16175}, |
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year={2025} |
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} |
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``` |
