Pathfinder

Pathfinder is an all-terrain wheeled robot forged for discovery in the harshest conditions. Purpose-built to traverse snow, ice, and rugged landscapes, Pathfinder is an intrepid research ally for pushing the boundaries of autonomous field robotics.

Its research passions span resilient perception in extreme weather, high-speed off-road navigation, and real-time 3D mapping. PATHFINDER’s spirit is as bold as its tires, plowing ahead where others hesitate—turning frozen wilderness into fertile ground for experimentation. Whether it’s carving tracks through winter trails or capturing dense environmental models, Pathfinder is always ready for the next expedition.

Equipped with a precision LiDAR dome, stereo camera, depth camera, and a robust chassis, it transforms sophisticated algorithms into confident motion and adaptive awareness. With every icy adventure, Pathfinder brings ideas to life, one frosty frontier at a time.

Publications

AnyNav: Visual Neuro-symbolic Friction Learning for Off-road Navigation.
Taimeng Fu, Zitong Zhan, Zhipeng Zhao, Shaoshu Su, Xiao Lin, Ehsan Tarkesh Esfahani, Karthik Dantu, Souma Chowdhury, Chen Wang.
arXiv preprint arXiv:2501.12654, 2025.

SAIR Lab Selected
```
@article{fu2025anynav,
  title = {{AnyNav}: Visual Neuro-symbolic Friction Learning for Off-road Navigation},
  author = {Fu, Taimeng and Zhan, Zitong and Zhao, Zhipeng and Su, Shaoshu and Lin, Xiao and Esfahani, Ehsan Tarkesh and Dantu, Karthik and Chowdhury, Souma and Wang, Chen},
  journal = {arXiv preprint arXiv:2501.12654},
  year = {2025},
  url = {https://arxiv.org/abs/2501.12654},
  website = {https://sairlab.org/anynav/},
  addendum = {SAIR Lab Selected}
}
```
```
Fu, Taimeng and Zhan, Zitong and Zhao, Zhipeng and Su, Shaoshu and Lin, Xiao and Esfahani, Ehsan Tarkesh and Dantu, Karthik and Chowdhury, Souma and Wang, Chen, "AnyNav: Visual Neuro-symbolic Friction Learning for Off-road Navigation," arXiv preprint arXiv:2501.12654, 2025.
```