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dc.contributor.authorGilbert, Seth
dc.contributor.authorLynch, Nancy Ann
dc.contributor.authorMitra, Sayan
dc.contributor.authorNolte, Tina
dc.date.accessioned2011-05-17T19:23:33Z
dc.date.available2011-05-17T19:23:33Z
dc.date.issued2009-07
dc.identifier.issn1556-4665
dc.identifier.issn1556-4703
dc.identifier.urihttp://hdl.handle.net/1721.1/62828
dc.description.abstractWe describe how a set of mobile robots can arrange themselves on any specified curve on the plane in the presence of dynamic changes both in the underlying ad hoc network and in the set of participating robots. Our strategy is for the mobile robots to implement a self-stabilizing virtual layer consisting of mobile client nodes, stationary Virtual Nodes (VNs), and local broadcast communication. The VNs are associated with predetermined regions in the plane and coordinate among themselves to distribute the client nodes relatively uniformly among the VNs' regions. Each VN directs its local client nodes to align themselves on the local portion of the target curve. The resulting motion coordination protocol is self-stabilizing, in that each robot can begin the execution in any arbitrary state and at any arbitrary location in the plane. In addition, self-stabilization ensures that the robots can adapt to changes in the desired target formation.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant No. CNS-0614993)en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/1552297.1552300en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceMIT web domainen_US
dc.titleSelf-stabilizing robot formations over unreliable networksen_US
dc.typeArticleen_US
dc.identifier.citationSeth Gilbert, Nancy Lynch, Sayan Mitra, and Tina Nolte. 2009. Self-stabilizing robot formations over unreliable networks. ACM Trans. Auton. Adapt. Syst. 4, 3, Article 17 (July 2009), 29 pages.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverLynch, Nancy Ann
dc.contributor.mitauthorLynch, Nancy Ann
dc.contributor.mitauthorNolte, Tina
dc.relation.journalACM Transactions on Autonomous and Adaptive Systems (TAAS)en_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
dspace.orderedauthorsGilbert, Seth; Lynch, Nancy; Mitra, Sayan; Nolte, Tinaen
dc.identifier.orcidhttps://orcid.org/0000-0003-3045-265X
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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