| # 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: |
|
|
| ``` |
| @misc{zhao2025embodiedr, |
| title={Embodied-R: Collaborative Framework for Activating Embodied Spatial Reasoning in Foundation Models via Reinforcement Learning}, |
| author={Baining Zhao and Ziyou Wang and Jianjie Fang and Chen Gao and Fanhang Man and Jinqiang Cui and Xin Wang and Xinlei Chen and Yong Li and Wenwu Zhu}, |
| year={2025}, |
| eprint={2504.12680}, |
| archivePrefix={arXiv}, |
| primaryClass={cs.AI}, |
| url={https://arxiv.org/abs/2504.12680}, |
| } |
| ``` |
| --- |
| license: mit |
| --- |
|
|
