Task encoding, motion planning and intelligent control using qualitative models

dc.contributor.advisorKuipers, Benjaminen
dc.creatorRamamoorthy, Subramanianen
dc.date.accessioned2008-08-28T23:38:03Zen
dc.date.available2008-08-28T23:38:03Zen
dc.date.issued2007en
dc.descriptiontexten
dc.description.abstractThis dissertation addresses the problem of trajectory generation for dynamical robots operating in unstructured environments in the absence of detailed models of the dynamics of the environment or of the robot itself. We factor this problem into the subproblem of task variation, and the subproblem of imprecision in models of dynamics.
dc.description.departmentElectrical and Computer Engineeringen
dc.format.mediumelectronicen
dc.identifierb68896463en
dc.identifier.oclc174145761en
dc.identifier.urihttp://hdl.handle.net/2152/3273en
dc.language.isoengen
dc.rightsCopyright is held by the author. Presentation of this material on the Libraries' web site by University Libraries, The University of Texas at Austin was made possible under a limited license grant from the author who has retained all copyrights in the works.en
dc.subject.lcshMobile robotsen
dc.subject.lcshArtificial intelligenceen
dc.titleTask encoding, motion planning and intelligent control using qualitative modelsen
dc.type.genreThesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical and Computer Engineeringen
thesis.degree.grantorThe University of Texas at Austinen
thesis.degree.levelDoctoralen
thesis.degree.nameDoctor of Philosophyen

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