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A Distributed Pareto-based Path Planning Algorithm for Autonomous Unmanned Aerial Vehicles (Extended Abstract)
Samir Labib, Nader; Danoy, Grégoire; Brust, Matthias R. et al.
202129th International Joint Conference on Artificial Intelligence IJCAI 2020 Multi-Agent Path Finding Workshop (MAPF)
 

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Keywords :
Unmanned Aerial Vehicles; Multi-Agent; Path Planning; Traffic Management
Abstract :
[en] Autonomous Unmanned Aerial Vehicles (UAVs) are in increasing demand thanks to their applicability in a wide range of domains. However, to fully exploit such potential, UAVs should be capable of intelligently planning their collision-free paths as that impacts greatly the execution quality of their applications. While being a problem well addressed in literature, most presented solutions are either computationally complex centralised approaches or ones not suitable for the multiobjective requirements of most UAV use-cases. This extended abstract introduces ongoing research on a novel distributed Pareto path planning algorithm incorporating a dynamic multi-criteria decision matrix allowing each UAV to plan its collision-free path relying on local knowledge gained via digital stigmergy. The article presents some initial simulations results of a distributed UAV Traffic Management system (UTM) on a weighted multilayer network.
Disciplines :
Computer science
Author, co-author :
Samir Labib, Nader ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG
Danoy, Grégoire  ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
Brust, Matthias R. ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > PCOG
Bouvry, Pascal ;  University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Computer Science (DCS)
External co-authors :
no
Language :
English
Title :
A Distributed Pareto-based Path Planning Algorithm for Autonomous Unmanned Aerial Vehicles (Extended Abstract)
Publication date :
07 January 2021
Event name :
29th International Joint Conference on Artificial Intelligence IJCAI 2020 Multi-Agent Path Finding Workshop (MAPF)
Event place :
Yokohoma, Japan
Event date :
from 07-01-2021 to 15-01-2021
Audience :
International
Available on ORBilu :
since 11 February 2021

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