Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based Experience Replay

arXiv:2402.18487v1 Announce Type: cross
Abstract: The integration of Unmanned Aerial Vehicles (UAVs) into Search and Rescue (SAR) missions presents a promising avenue for enhancing operational efficiency and effectiveness. However, the success of these missions is not solely dependent on the technical capabilities of the drones but also on their acceptance and interaction with humans on the ground. This paper explores the effect of human-centric factor in UAV trajectory planning for SAR missions. We introduce a novel approach based on the …

abstract aerial arxiv cs.ai cs.hc cs.lg cs.ro efficiency experience human human-centric integration multi-objective planning reinforcement reinforcement learning search success trajectory type unmanned aerial vehicles vehicles