README.md

---
pipeline_tag: robotics
library_name: transformers
license: cc-by-nc-sa-4.0
tags:
  - vision-language-model
  - manipulation
  - robotics
---

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# F1: A Vision Language Action Model Bridging<br>Understanding and Generation to Actions
[![Paper](https://img.shields.io/badge/Paper-arXiv-red.svg)](https://arxiv.org/abs/2509.06951)
[![Code](https://img.shields.io/badge/GitHub-Code-800820?logo=github)](https://github.com/InternRobotics/F1-VLA)
[![Website](https://img.shields.io/badge/Website-Pages-blue.svg)](https://aopolin-lv.github.io/F1-VLA)



## 🚀 Key Innovations

- **🧠 Predictive Inverse Dynamics**: Visual foresight generation for planning-based control
- **🏗️ Mixture-of-Transformer**: Three specialized experts (Understanding, Generation, Action)
- **📈 Three-Stage Training**: Progressive alignment, pretraining, and adaptation

## 🤖 Real-World Robot Experiments

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  <p><em>9 diverse manipulation tasks including pick-and-place, handover, and complex object manipulation</em></p>
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    <p><em>Diverse manipulation tasks across multiple robot platforms.</em></p>
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## 📊 Performance Summary

| Task | Platform | F1 | π0 | Improvement |
|:--------:|:------------:|:------------------:|:------------:|:---------------:|
| Multi-task | Genie-1 | 82.2% | 65.2% | +17.0% |
| Adaptation | Franka | 66.7% | 53.3% | +13.4% |
| Long-horizon | ARX LIFT II | 40.0% | 0.0% | +40.0% |
| Dynamic Env | ARX LIFT II | 66.7% | 33.3% | +33.4% |

## Usage
Please refer to our official repo [F1-VLA](https://github.com/InternRobotics/F1-VLA).

## 📚 Citation

If you find our work helpful, please cite:

```bibtex
@article{f1_vla_2025,
  title={F1: A Vision Language Action Model Bridging Understanding and Generation to Actions},
  author={Qi Lv and Weijie Kong and Hao Li and Jia Zeng and Zherui Qiu and Delin Qu and Haoming Song and Qizhi Chen and Xiang Deng and Jiangmiao Pang},
  journal={Conference/Journal Name},
  year={2025},
  url={https://arxiv.org/abs/2509.06951}
}
```

## License
This work is under the [cc-by-nc-sa-4.0](LICENSE).

## Acknowledgements
This repository is based on [Lerobot](https://github.com/huggingface/lerobot), [Any4lerobot](https://github.com/Tavish9/any4lerobot/), and [VAR](https://github.com/FoundationVision/VAR).