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dc.contributor.authorHover, Franz S.
dc.contributor.authorGreytak, Matthew B.
dc.date.accessioned2010-10-15T14:21:00Z
dc.date.available2010-10-15T14:21:00Z
dc.date.issued2010-01
dc.date.submitted2009-12
dc.identifier.isbn978-1-4244-3871-6
dc.identifier.issn0191-2216
dc.identifier.otherINSPEC Accession Number: 11149294
dc.identifier.urihttp://hdl.handle.net/1721.1/59359
dc.descriptionheld jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009.en_US
dc.description.abstractWe present a robust motion planning algorithm for a holonomic mobile robot that incorporates the risk of collisions directly in the cost function. This deterministic algorithm uses analytic predictions of the path-following error statistics to quickly calculate the collision risk. The A* search algorithm is used to find motion plans that optimally balance the plan duration with the collision risk, and these plans have a higher probability of success than plans that do not consider the collision risk. We present experimental results for an autonomous marine vehicle.en_US
dc.description.sponsorshipUnited States. Office of Naval Research (Grant N00014-02-1-0623)en_US
dc.description.sponsorshipScience, Mathematics and Research for Transformation (SMART) scholarshipen_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/CDC.2009.5399943en_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.titleMotion planning with an analytic risk cost for holonomic vehiclesen_US
dc.typeArticleen_US
dc.identifier.citationGreytak, M., and F. Hover. “Motion planning with an analytic risk cost for holonomic vehicles.” Decision and Control, 2009 held jointly with the 2009 28th Chinese Control Conference. CDC/CCC 2009. Proceedings of the 48th IEEE Conference on. 2009. 5655-5660. © Copyright 2010 IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.approverHover, Franz S.
dc.contributor.mitauthorHover, Franz S.
dc.contributor.mitauthorGreytak, Matthew B.
dc.relation.journalProceedings of the 48th IEEE Conference on Decision Control, CDC/CCC 2009en_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.orderedauthorsGreytak, Matthew; Hover, Franzen
dc.identifier.orcidhttps://orcid.org/0000-0002-2621-7633
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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