Advancing evolutionary coordination for fixed-wing communications UAVs

Article


Giagkos, A., Tuci, E. and Wilson, M. 2015. Advancing evolutionary coordination for fixed-wing communications UAVs. Conference Towards Autonomous Robotic Systems. 9287, pp. 124-135. https://doi.org/10.1007/978-3-319-22416-9_14
TypeArticle
TitleAdvancing evolutionary coordination for fixed-wing communications UAVs
AuthorsGiagkos, A., Tuci, E. and Wilson, M.
Abstract

In this paper we present advances to our previously proposed coordination system for groups of unmanned aerial vehicles that provide a network backbone over mobile ground-based vehicles. Evolutionary algorithms are employed in order to evolve flying manoeuvres that position the aerial vehicles. The updates to the system include obstacle representation, a packing mechanism to permit efficient dynamic allocation of ground-based vehicles to their supporting aerial vehicles within large-scale environments, and changes to time synchronisation. The experimental results presented in this paper show that the system is able to adaptively form sparse formations that cover as many ground-based vehicles as possible, optimising the use of the available power.

Research GroupArtificial Intelligence group
JournalConference Towards Autonomous Robotic Systems
ISSN0302-9743
Publication dates
Print18 Jul 2015
Publication process dates
Deposited13 Jun 2017
Accepted01 May 2015
Output statusPublished
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-319-22416-9_14
LanguageEnglish
Book titleTowards Autonomous Robotic Systems
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