| --- |
| license: apache-2.0 |
| pipeline_tag: robotics |
| library_name: transformers |
| base_model: Qwen/Qwen2.5-VL-7B-Instruct |
| datasets: |
| - Chrono666/Nav-R2-OVON-CoT-Dataset |
| tags: |
| - robotics |
| - navigation |
| - object-goal-navigation |
| - vision-language-model |
| - qwen |
| --- |
| |
| # Nav-$R^2$: Dual-Relation Reasoning for Generalizable Open-Vocabulary Object-Goal Navigation |
|
|
| This repository contains the official implementation of the paper [Nav-$R^2$: Dual-Relation Reasoning for Generalizable Open-Vocabulary Object-Goal Navigation](https://huggingface.co/papers/2512.02400). |
|
|
| Object-goal navigation in open-vocabulary settings requires agents to locate novel objects in unseen environments. Nav-$R^2$ proposes a framework that explicitly models target-environment and environment-action relationships through structured Chain-of-Thought (CoT) reasoning and a Similarity-Aware Memory. This approach enables state-of-the-art performance in localizing unseen objects efficiently while maintaining real-time inference. |
|
|
| For more details on the code, installation, training, and evaluation, please refer to the [GitHub repository](https://github.com/AMAP-EAI/Nav-R2). |
|
|
| ## Overview |
|
|
| <p align="center"> |
| <img src="https://github.com/AMAP-EAI/Nav-R2/raw/main/figs/title.png" width="100%"> |
| </p> |
| <p align="center"> |
| <img src="https://github.com/AMAP-EAI/Nav-R2/raw/main/figs/teaser.png" width="100%"> |
| </p> |
|
|
| ### Pipeline and Structure |
| <p align="center"> |
| <img src="https://github.com/AMAP-EAI/Nav-R2/raw/main/figs/pipeline.png" width="100%"> |
| </p> |
|
|
| ### Results on OVON |
| Here shows the results on OVON dataset. Nav-R2 is trained via **ONLY SFT** receiving **ONLY RGB observations** from **ONLY first-person view**, and achieves the best SR on the val-unseen split. |
| <p align="center"> |
| <img src="https://github.com/AMAP-EAI/Nav-R2/raw/main/figs/main-results.png" width="100%"> |
| </p> |
|
|
| ## Citation |
| If you find our work helpful or inspiring, please feel free to cite it. |
|
|
| ```bibtex |
| @article{zhou2025navr2, |
| title={Nav-R2: Dual-Relation Reasoning for Generalizable Open-Vocabulary Object-Goal Navigation}, |
| author={Authors names and affiliations will be added after review}, |
| journal={arXiv preprint arXiv:2512.02400}, |
| year={2025} |
| } |
| ``` |
