Show simple item record

dc.contributor.authorZoss, Brandon Michael
dc.contributor.authorMateo, David
dc.contributor.authorKuan, Yoke Kong
dc.contributor.authorTokic, Grgur
dc.contributor.authorChamanbaz, Mohammadreza
dc.contributor.authorGoh, Louis
dc.contributor.authorVallegra, Francesco
dc.contributor.authorBouffanais, Roland
dc.contributor.authorYue, Dick K. P.
dc.date.accessioned2022-06-30T14:13:48Z
dc.date.available2021-10-27T20:09:34Z
dc.date.available2022-06-30T14:13:48Z
dc.date.issued2018
dc.identifier.urihttps://hdl.handle.net/1721.1/134869.2
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.en_US
dc.language.isoen
dc.publisherSpringer Science and Business Media LLCen_US
dc.relation.isversionof10.1007/S10514-018-9702-0en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceother univ websiteen_US
dc.titleDistributed system of autonomous buoys for scalable deployment and monitoring of large waterbodiesen_US
dc.typeArticleen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.relation.journalAutonomous Robotsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
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, DKPen_US
dspace.date.submission2020-08-14T14:54:20Z
mit.journal.volume42en_US
mit.journal.issue8en_US
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusPublication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record

VersionItemDateSummary

*Selected version