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dc.contributor.authorZoss, Brandon M
dc.contributor.authorMateo, David
dc.contributor.authorKuan, Yoke Kong
dc.contributor.authorTokić, Grgur
dc.contributor.authorChamanbaz, Mohammadreza
dc.contributor.authorGoh, Louis
dc.contributor.authorVallegra, Francesco
dc.contributor.authorBouffanais, Roland
dc.contributor.authorYue, Dick KP
dc.date.accessioned2021-10-27T20:09:34Z
dc.date.available2021-10-27T20:09:34Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1721.1/134869
dc.description.abstract© 2018, Springer Science+Business Media, LLC, part of Springer Nature. The design, construction, and testing of a large distributed system of novel, small, low-cost, autonomous surface vehicles in the form of self-propelled buoys capable of operating in open waters is reported. We detail the successful testing of collective behaviors of systems with up to 50 buoys, achieving scalable deployment and dynamic monitoring in unstructured environments. This constitutes the largest distributed multi-robot system of its kind reported to date. We confirm the robustness of the system to the loss of multiple units for different collective behaviors such as flocking, navigation, and area coverage. For dynamic area monitoring, we introduce a new metric to quantify coverage effectiveness. Our system exhibits near optimal scalability for fixed target areas and a high degree of flexibility when the shape of the target changes with time. This system demonstrates the potential of distributed multi-robot systems for the pervasive and persistent monitoring of coastal and inland water environments.
dc.language.isoen
dc.publisherSpringer Science and Business Media LLC
dc.relation.isversionof10.1007/S10514-018-9702-0
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.sourceother univ website
dc.titleDistributed system of autonomous buoys for scalable deployment and monitoring of large waterbodies
dc.typeArticle
dc.relation.journalAutonomous Robots
dc.eprint.versionAuthor's final manuscript
dc.type.urihttp://purl.org/eprint/type/JournalArticle
eprint.statushttp://purl.org/eprint/status/PeerReviewed
dc.date.updated2020-08-14T14:54:17Z
dspace.orderedauthorsZoss, BM; Mateo, D; Kuan, YK; Tokić, G; Chamanbaz, M; Goh, L; Vallegra, F; Bouffanais, R; Yue, DKP
dspace.date.submission2020-08-14T14:54:20Z
mit.journal.volume42
mit.journal.issue8
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Needed


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