README.md

metadata

license: apache-2.0
pipeline_tag: robotics
library_name: transformers

Mantis

This is the official checkpoint of Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight

• Paper: https://arxiv.org/pdf/2511.16175
• Code: https://github.com/zhijie-group/Mantis

🔥 Highlights

• Disentangled Visual Foresight augments action learning without overburdening the backbone.
• Progressive Training preserves the understanding capabilities of the backbone.
• Adaptive Temporal Ensemble reduces inference cost while maintaining stable control.

How to use

This is the base Mantis model. For detailed usage please refer to our repository.

📝 Citation

If you find our code or models useful in your work, please cite our paper:

@article{yang2025mantis,
  title={Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight},
  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},
  journal={arXiv preprint arXiv:2511.16175},
  year={2025}
}