Multi-UAV Path Coordination through Generalized Potential Games

Liping Shi*, Nestor Javier Hernandez Marcano*, Rune Hylsberg Jacobsen*

*Corresponding author af dette arbejde

Publikation: Bidrag til bog/antologi/rapport/proceedingKonferencebidrag i proceedingsForskningpeer review

2 Citationer (Scopus)
221 Downloads (Pure)

Abstract

In this paper, the problem to safely and efficiently navigate multiple Unmanned Aerial Vehicles (UAVs) in complex environments is addressed. Each UAV aims at achieving an approximate optimal trajectory plan while considering constraints from the environment and other neighboring UAVs. The problem is formulated as a generalized potential game. An algorithm, following an iterative best response approach, is proposed. Experimental results verify the coordination of a team of UAVs for a given team goal description. Also, the time cost of computation for the proposed algorithm is investigated. The results show a high-level goal to navigate a team of UAVs can be automatically decomposed to safe and efficient trajectory
plans for each UAV in the team by solving generalized potential games in a decentralized manner.
OriginalsprogEngelsk
Titel2022 8th International Conference on Automation, Robotics and Applications, ICARA 2022
Antal sider5
ForlagIEEE
Publikationsdatomar. 2022
Sider125-129
ISBN (Elektronisk)9781665483834
DOI
StatusUdgivet - mar. 2022
Begivenhed8th International Conference on Automation, Robotics and Applications, ICARA 2022 - Virtual, Online, Tjekkiet
Varighed: 18 feb. 202220 feb. 2022

Konference

Konference8th International Conference on Automation, Robotics and Applications, ICARA 2022
Land/OmrådeTjekkiet
ByVirtual, Online
Periode18/02/202220/02/2022

Citationsformater