UGV-Conditioned Multi-UAV Informative Planning on a Shared Exposure Belief

• URL: http://arxiv.org/abs/2606.12306v1
• Date: Wed, 10 Jun 2026 16:42:08 GMT
• Title: UGV-Conditioned Multi-UAV Informative Planning on a Shared Exposure Belief
• Abstract summary: We address the problem of coordinating a team of unmanned aerial vehicles (UAVs) to improve the safety of an unmanned ground vehicle (UGV) navigating through unknown threat zones.<n>A key aspect of our approach is a shared exposure belief that is updated online from aerial observations.<n>This enables us to direct aerial sensing towards route-relevant regions while allowing the UGV to replan around newly revealed threats.
• Score: 4.454210876879236
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Safe ground navigation in large, threat-augmented environments requires aerial support that actively reduces the risks that a ground vehicle faces along its route. Existing aerial reconnaissance systems focus on mapping or covering the environment, but do not direct sensing toward regions that are most relevant for ground vehicle safety. In this paper, we address the problem of coordinating a team of unmanned aerial vehicles (UAVs) to improve the safety of an unmanned ground vehicle (UGV) navigating through unknown threat zones. A key aspect of our approach is a shared exposure belief that is updated online from aerial observations and used jointly by the UAV team and the ground vehicle. This enables us to direct aerial sensing towards route-relevant regions while allowing the UGV to replan around newly revealed threats. We coordinate the UAV team through spatial region assignment to avoid redundant sensing. Simulation experiments show that our approach reduces cumulative UGV exposure by 38% compared to a system that does not account for hazard levels, and reduces redundant aerial coverage from 38.8% to 3.7% under our multi-UAV coordination scheme.

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