Aerial Path Planning for Multi-Vehicles
Asif Rizwan, Hendrik Loffel, Vorapol Assavasangthong, Giulio Martinelli, Phillip Gajland, Borja Rodríguez-Gálvez · 2019
Unmanned Aerial Vehicles (UAV) are a potential solution to fast and cost efficient package delivery services. There are two types of UAVs, namely fixed wing (UAV-FW) and rotor wing (UAV-RW), which have their own advantages and drawbacks. In this paper we aim at providing different solutions to a collaborating multi-agent scenario combining both UAVs types. We show the problem can be reduced to the facility location problem (FLP) and propose two local search algorithms to solve it: Tabu search and simulated annealing.