README.md

---
tags:
- robotics
---
# UnifoLM-VLA-0: A Vision-Language-Action (VLA) Framework under UnifoLM Family
 <p style="font-size: 1.2em;">
    <a href="https://unigen-x.github.io/unifolm-vla.github.io"><strong>Project Page</strong></a> | 
    <a href="https://huggingface.co/unitreerobotics/models"><strong>Models</strong></a> |
    <a href="https://huggingface.co/unitreerobotics/datasets"><strong>Datasets</strong></a> 
  </p>
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  <p align="right">
    <span> 🌎English </span> | <a href="https://github.com/unitreerobotics/unifolm-vla/blob/main/README_cn.md"> 🇨🇳中文 </a>
  </p>
</div>

**UnifoLM-VLA-0** is a Vision–Language–Action (VLA) large model in the UnifoLM series, designed for general-purpose humanoid robot manipulation. It goes beyond the limitations of conventional Vision–Language Models (VLMs) in physical interaction. Through continued pre-training on robot manipulation data, the model evolves from "vision-language understanding" to an "embodied brain" equipped with physical common sense.

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  <tr>
    <th width="50%">Spatial Semantic Enhancement</th>
    <th width="50%">Manipulation Generalization</th>
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  <tr>
    <td valign="top">
      To address the requirements for instruction comprehension and spatial understanding in manipulation tasks, the model deeply integrates textual instructions with 2D/3D spatial details through continued pre-training, <strong>substantially strengthening its spatial perception and geometric understanding capabilities.</strong>
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    <td valign="top">
      By leveraging full dynamics prediction data, the model achieves strong generalization across diverse manipulation tasks. In real-robot validation, <strong>it can complete 12 categories of complex manipulation tasks with high quality using only a single policy.</strong>
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  </tr>
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<div align="center">
  <img 
    src="https://raw.githubusercontent.com/unitreerobotics/unifolm-vla/main/assets/gif/UnifoLM-VLA-0.gif"
    style="width:100%; max-width:1000px; height:auto;"
    alt="UnifoLM-VLA Demo"
  />
</div>

## 📝 Citation
```
@misc{unifolm-vla-0,
  author       = {Unitree},
  title        = {UnifoLM-VLA-0: A Vision-Language-Action (VLA) Framework under UnifoLM Family},
  year         = {2026},
}
```


## License
The model is released under the CC BY-NC-SA 4.0 license as found in the [LICENSE](https://huggingface.co/unitreerobotics/UnifoLM-VLA-Base/blob/main/LICENSE). You are responsible for ensuring that your use of Unitree AI Models complies with all applicable laws.