Threshold bundle-based task allocation for multiple aerial robots

dc.contributor.authorLi, Teng
dc.contributor.authorShin, Hyo-Sang
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2021-06-30T09:31:01Z
dc.date.available2021-06-30T09:31:01Z
dc.date.issued2020-04-14
dc.description.abstractThis paper focuses on the large-scale task allocation problem for multiple Unmanned Aerial Vehicles (UAVs). One of the great challenges with task allocation is the NP-hardness for both computation and communication. This paper proposes an efficient decentralised task allocation algorithm for multiple UAVs to handle the NP-hardness while providing an optimality bound of solution quality. The proposed algorithm can reduce computational and communicating complexity by introducing a decreasing threshold and building task bundles based on the sequential greedy algorithm. The performance of the proposed algorithm is examined through Monte-Carlo simulations of a multi-target surveillance mission. Simulation results demonstrate that the proposed algorithm achieves similar solution quality compared with benchmark task allocation algorithms but consumes much less running time and consensus steps.en_UK
dc.identifier.citationLi T, Shin H-S, Tsourdos A. (2020) Threshold bundle-based task allocation for multiple aerial robots. IFAC-PapersOnLine, Volume 53, Issue 2, pp. 14787-14792en_UK
dc.identifier.issn2405-8963
dc.identifier.urihttps://doi.org/10.1016/j.ifacol.2020.12.1908
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16826
dc.language.isoenen_UK
dc.publisherElsevieren_UK
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectMultiple UAVsen_UK
dc.subjecttask allocationen_UK
dc.subjectsubmodular maximisationen_UK
dc.subjectthreshold bundleen_UK
dc.subjectmulti-target surveillanceen_UK
dc.titleThreshold bundle-based task allocation for multiple aerial robotsen_UK
dc.typeArticleen_UK

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