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dc.contributor.authorSlotine, Jean-Jacques E.
dc.contributor.authorCheah, C. C.
dc.contributor.authorHou, S. P.
dc.date.accessioned2010-10-15T17:42:55Z
dc.date.available2010-10-15T17:42:55Z
dc.date.issued2009-07
dc.date.submitted2009-05
dc.identifier.isbn978-1-4244-2788-8
dc.identifier.issn1050-4729
dc.identifier.otherINSPEC Accession Number: 10748995
dc.identifier.urihttp://hdl.handle.net/1721.1/59379
dc.description.abstractThis paper presents a dynamic region following formation control method for a swarm of robots. In this control strategy, a swarm of robots shall move together as a group inside a dynamic region that can rotate or scale to enable the robots to adjust the formation. Various desired shapes can be formed by choosing appropriate functions. Unlike existing formation control methods, the proposed method do not need to have specific identities or orders in the group but yet dynamic formation can be formed for a large group of robots. This enables a swarm of robots to adjust the formation during the course of maneuver. The system is also scalable in the sense that any robot can move into the formation or leave the formation without affecting the other robots. Lyapunov-like function is presented for convergence analysis of the multi-robot systems. Simulation results are presented to illustrate the performance of the proposed controller.en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ROBOT.2009.5152422en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourceIEEEen_US
dc.titleDynamic region following formation control for a swarm of robotsen_US
dc.typeArticleen_US
dc.identifier.citationHou, S.P., C.C. Cheah, and J.J.E. Slotine. “Dynamic region following formation control for a swarm of robots.” Robotics and Automation, 2009. ICRA '09. IEEE International Conference on. 2009. 1929-1934. ©2009 Institute of Electrical and Electronics Engineers.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. Nonlinear Systems Laboratoryen_US
dc.contributor.approverSlotine, Jean-Jacques E
dc.contributor.mitauthorSlotine, Jean-Jacques E.
dc.relation.journalIEEE International Conference on Robotics and Automation, 2009. ICRA '09en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsHou, S.P.; Cheah, C.C.; Slotine, J.J.E.en
dc.identifier.orcidhttps://orcid.org/0000-0002-7161-7812
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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