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Multi-agent path planning in dynamic environment with communication disruptions

dc.contributor.authorTamanakijprasart, Komsun
dc.contributor.authorMondal, Sabyasachi
dc.contributor.authorTsourdos, Antonios
dc.date.accessioned2025-09-30T10:04:39Z
dc.date.available2025-09-30T10:04:39Z
dc.date.freetoread2025-09-30
dc.date.issued2025-07-01
dc.date.pubOnline2025-08-06
dc.description.abstractIn this research, we present an innovative pathplanning strategy specifically designed for a cooperative group of interconnected agents that are navigating in a synchronized formation through diverse environments, which include both stationary and moving obstacles that could hinder their progress. This strategy is developed by integrating Distributed Nonlinear Dynamic Inversion (DNDI) based leader-follower formation tracking control with the dynamic autorouting capabilities derived from the Interfered Fluid Dynamical System (IFDS). The proposed method exhibits a remarkable ability to effectively address the challenges posed by the absence of communication among agents, as well as the difficulties encountered when facing dynamic obstacles, all while ensuring that a safe distance is consistently maintained between all agents throughout their flight.
dc.description.conferencename2025 International Conference on Control, Automation and Diagnosis (ICCAD)
dc.identifier.citationTamanakijprasart K, Mondal S, Tsourdos A. (2025) Multi-agent path planning in dynamic environment with communication disruptions. In: 2025 International Conference on Control, Automation and Diagnosis (ICCAD), 1-3 July 2025, Barcelona, Spainen_UK
dc.identifier.eisbn979-8-3315-1191-3
dc.identifier.eissn2767-9896
dc.identifier.elementsID862896
dc.identifier.isbn979-8-3315-1192-0
dc.identifier.issn2767-987X
dc.identifier.urihttps://doi.org/10.1109/iccad64771.2025.11099262
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/24498
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_UK
dc.publisher.urihttps://ieeexplore.ieee.org/document/11099262
dc.rightsAttribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subject46 Information and Computing Sciencesen_UK
dc.subject4602 Artificial Intelligenceen_UK
dc.subjectmulti-agent systemsen_UK
dc.subjectUAVen_UK
dc.subjectdynamic path planningen_UK
dc.subjectformation flyingen_UK
dc.titleMulti-agent path planning in dynamic environment with communication disruptionsen_UK
dc.typeConference paper
dcterms.coverageBarcelona, Spain
dcterms.temporal.endDate3 Jul 2025
dcterms.temporal.startDate1 Jul 2025

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