Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned
Paper • 2603.25937 • Published
ONNX-optimized exports of visual navigation models for deployment on physical robots (e.g., Boston Dynamic Spot, AgileX Limo, AgileX Bunker). These exports are derived from the original works listed below — all credit for architectures and training goes to the respective authors.
See https://github.com/MaevaGuerrier/vnm-zeroshot-eval for deployment instructions.
We would like to thank the authors of the following works, whose open-source models made this evaluation possible.
If you use this work, please cite:
@article{guerrier2026vnm,
title = {Can Vision Foundation Models Navigate? Zero-Shot Real-World Evaluation and Lessons Learned},
author = {Guerrier, Maeva and Soma, Karthik and Pavlasek, Jana and Beltrame, Giovanni},
journal = {arXiv preprint arXiv:2603.25937},
year = {2026}
}
Consider citing the original models as well:
@misc{shah2023gnmgeneralnavigationmodel,
title={GNM: A General Navigation Model to Drive Any Robot},
author={Dhruv Shah and Ajay Sridhar and Arjun Bhorkar and Noriaki Hirose and Sergey Levine},
year={2023},
eprint={2210.03370},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2210.03370},
}
@misc{shah2023vintfoundationmodelvisual,
title={ViNT: A Foundation Model for Visual Navigation},
author={Dhruv Shah and Ajay Sridhar and Nitish Dashora and Kyle Stachowicz and Kevin Black and Noriaki Hirose and Sergey Levine},
year={2023},
eprint={2306.14846},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2306.14846},
}
@misc{sridhar2023nomadgoalmaskeddiffusion,
title={NoMaD: Goal Masked Diffusion Policies for Navigation and Exploration},
author={Ajay Sridhar and Dhruv Shah and Catherine Glossop and Sergey Levine},
year={2023},
eprint={2310.07896},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2310.07896},
}
@misc{ren2025priordoesmattervisual,
title={Prior Does Matter: Visual Navigation via Denoising Diffusion Bridge Models},
author={Hao Ren and Yiming Zeng and Zetong Bi and Zhaoliang Wan and Junlong Huang and Hui Cheng},
year={2025},
eprint={2504.10041},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2504.10041},
}
@misc{doshi2024scalingcrossembodiedlearningpolicy,
title={Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation},
author={Ria Doshi and Homer Walke and Oier Mees and Sudeep Dasari and Sergey Levine},
year={2024},
eprint={2408.11812},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2408.11812},
}
Base model
rail-berkeley/crossformer