AI RESEARCH
LMPath: Language-Mediated Priors and Path Generation for Aerial Exploration
arXiv CS.AI
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ArXi:2605.13782v1 Announce Type: cross Traditional autonomous UAV search missions rely on geometric coverage patterns that ignore the semantic context of the target, leading to significant time waste in large-scale environments. In this paper we present LMPath, a pipeline for generating language-mediated exploration priors for Unmanned Aerial Vehicle (UAV) search missions that leverages semantics.