SOURCE-LINKED INTELLIGENCE
PIVOT: Physically Informed Vision-Language Off-Road Traversability for Field Robot Navigation
Terrain assessment is a critical capability for off-road mobile robots, enabling safe and reliable navigation through unstructured and geometrically complex environments. Conventional geometry-based terrain assessment is fast to compute but often overly conservative in unstructured environments. We present PIVOT: a Physically Informed Vision-Language Off-Road Traversability navigation system that augments conventional geometry-based planning with vision-language-model (VLM)-based semantic reasoning for field robots. To physically ground this assessment, we quantify how strongly the VLM's predi
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T18:34:18.000Z
First collected: 2026-09-23T14:12:08.350Z. This is not the publication date.