SOURCE-LINKED INTELLIGENCE
Air-Ground Collaborative Vision-and-Language Navigation via Shared Bird's-Eye Maps
Air-ground collaborative Vision-and-Language Navigation (VLN) pairs an unmanned aerial vehicle (UAV) with a global bird's-eye view and an unmanned ground vehicle (UGV) with a local first-person view, yet the setting remains largely unexplored: existing training-free methods solve single-agent tasks but offer no collaboration mechanism, and a recent CARLA-Air evaluation found no stable cooperative behavior across five state-of-the-art VLA models; naive semantic communication or bidirectional coupling even degrades performance. We establish AGC-VLN (Air-Ground Collaborative VLN), the first train
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-03T07:38:41.000Z
First collected: 2026-09-21T05:11:56.580Z. This is not the publication date.