Scheduling Drone and Mobile Charger via Hybrid-Action Deep Reinforcement Learning

arXiv:2403.10761v1 Announce Type: cross
Abstract: Recently there has been a growing interest in industry and academia, regarding the use of wireless chargers to prolong the operational longevity of unmanned aerial vehicles (commonly knowns as drones). In this paper we consider a charger-assisted drone application: a drone is deployed to observe a set points of interest, while a charger can move to recharge the drone's battery. We focus on the route and charging schedule of the drone and the mobile charger, …

abstract academia aerial application arxiv cs.ai cs.lg cs.ro drone drones hybrid industry longevity mobile observe paper reinforcement reinforcement learning scheduling type unmanned aerial vehicles vehicles via wireless