A review of task allocation methods for UAVs

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dc.contributor.authorSkaltsis, George Marios
dc.contributor.authorShin, Hyosang
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2024-01-11T10:56:04Z
dc.date.available2024-01-11T10:56:04Z
dc.date.issued2023-11-21
dc.description.abstractUnmanned aerial vehicles, can offer solutions to a lot of problems, making it crucial to research more and improve the task allocation methods used. In this survey, the main approaches used for task allocation in applications involving UAVs are presented as well as the most common applications of UAVs that require the application of task allocation methods. They are followed by the categories of the task allocation algorithms used, with the main focus being on more recent works. Our analysis of these methods focuses primarily on their complexity, optimality, and scalability. Additionally, the communication schemes commonly utilized are presented, as well as the impact of uncertainty on task allocation of UAVs. Finally, these methods are compared based on the aforementioned criteria, suggesting the most promising approaches.en_UK
dc.identifier.citationSkaltsis GM, Shin HS, Tsourdos A. (2023) A review of task allocation methods for UAVs. Journal of Intelligent & Robotic Systems, Volume 109, November 2023, Article number 76en_UK
dc.identifier.issn0921-0296
dc.identifier.urihttps://doi.org/10.1007/s10846-023-02011-0
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/20641
dc.language.isoenen_UK
dc.publisherSpringeren_UK
dc.rightsAttribution 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectTask allocationen_UK
dc.subjectUAVsen_UK
dc.subjectAuction based algorithmsen_UK
dc.subjectOptimisationen_UK
dc.subjectReinforcement learningen_UK
dc.subjectGame theoryen_UK
dc.subjectMetaheuristicsen_UK
dc.titleA review of task allocation methods for UAVsen_UK
dc.typeArticleen_UK
dcterms.dateAccepted2023-10-31

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