VLM-GroNav evaluates physically grounded outdoor navigation on Clearpath Husky

Evidence notes
- The VLM-GroNav paper combines vision-language models with physically grounded proprioceptive signals for outdoor terrain navigation.
- The authors validate the method on a Clearpath Husky and a Ghost Vision 60 across deformable and slippery outdoor terrain.
- The reported experiments show navigation-success improvements by grounding semantic terrain understanding in real physical interaction data.
Company context
Clearpath Robotics builds unmanned ground vehicles and mobile robot platforms for research, development and field robotics, including Jackal, Husky and related robot bases.