File size: 1,378 Bytes
0416e5c 5506d8d 0416e5c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | # Embodied-R Model Weights
This repository contains the RL-trained weights of the model introduced in the paper:
**[Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning]**.
For more details about the model and its implementation, please refer to the GitHub repository:
[https://github.com/EmbodiedCity/Embodied-R.code](https://github.com/EmbodiedCity/Embodied-R.code).
## Citation
If this work has contributed to your research, welcome to cite it:
```
@inproceedings{10.1145/3746027.3755703,
author = {Zhao, Baining and Wang, Ziyou and Fang, Jianjie and Gao, Chen and Man, Fanhang and Cui, Jinqiang and Wang, Xin and Chen, Xinlei and Li, Yong and Zhu, Wenwu},
title = {Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning},
year = {2025},
isbn = {9798400720352},
publisher = {Association for Computing Machinery},
address = {New York, NY, USA},
url = {https://doi.org/10.1145/3746027.3755703},
doi = {10.1145/3746027.3755703},
booktitle = {Proceedings of the 33rd ACM International Conference on Multimedia},
pages = {11071–11080},
numpages = {10},
keywords = {embodied intelligence, reasoning, vision-language model},
location = {Dublin, Ireland},
series = {MM '25}
}
```
---
license: mit
---
|