---
title: ABot-M0-Pretrain
canonical_url: "https://www.modelscope.cn/models/amap_cvlab/ABot-M0-Pretrain"
md_url: "https://www.modelscope.cn/models/amap_cvlab/ABot-M0-Pretrain.md"
repository: amap_cvlab/ABot-M0-Pretrain
last_updated: 2026-03-27
license: apache-2.0
pipeline_tag: robotics
tasks:
  - robotics
library_name:
  - pytorch
frameworks:
  - Pytorch
downloads: 132
stars: 2
---

# ABot-M0-Pretrain

> ABot-M0-Pretrain - amap_cvlab 在 ModelScope 开源的模型。This is the latest set of ABot-M0 pretrained weights incorporating action manifold learning, with generalization performance primarily tested on the LIBERO-Plus benchmark.

amap_cvlab/ABot-M0-Pretrain 是 ModelScope 魔搭社区上的robotics模型，采用 apache-2.0 许可。

- **Repository**: amap_cvlab/ABot-M0-Pretrain
- **License**: apache-2.0
- **Tasks**: robotics
- **Downloads**: 132
- **Stars**: 2
- **Last updated**: 2026-03-27

Source: https://www.modelscope.cn/models/amap_cvlab/ABot-M0-Pretrain

---

<img width="400px" src="https://raw.githubusercontent.com/amap-cvlab/ABot-Manipulation/main/assets/logo.png">



### Model Card

This is the latest set of ABot-M0 pretrained weights incorporating action manifold learning, with generalization performance primarily tested on the LIBERO-Plus benchmark.

For more information of **ABot-M0** and how to use this weight, please refer to:

- Released Code: [Github Repo](https://github.com/amap-cvlab/ABot-Manipulation).

- Project Page: [This Website](github.com/amap-cvlab/ABot-Manipulation?tab=readme-ov-file).

- Technical Report: [ArXiv Link](github.com/amap-cvlab/ABot-Manipulation?tab=readme-ov-file).


<img width="800px" src="https://raw.githubusercontent.com/amap-cvlab/ABot-Manipulation/main/assets/model.jpg">


### Citation

If you find our work helpful, feel free to give us a cite.

```bibtex
@article{yang2026abot,
  title={ABot-M0: VLA Foundation Model for Robotic Manipulation with Action Manifold Learning},
  author={Yang, Yandan and Zeng, Shuang and Lin, Tong and Chang, Xinyuan and Qi, Dekang and Xiao, Junjin and Liu, Haoyun and Chen, Ronghan and Chen, Yuzhi and Huo, Dongjie and others},
  journal={arXiv preprint arXiv:2602.11236},
  year={2026}
}
```