Atlas + X: Sampling-based Planners on Constraint Manifolds

dc.contributor.authorVoss, Caleben_US
dc.contributor.authorMoll, Marken_US
dc.contributor.authorKavraki, Lydia E.en_US
dc.date.accessioned2017-08-02T22:03:16Zen_US
dc.date.available2017-08-02T22:03:16Zen_US
dc.date.issued2017-06-14en_US
dc.date.noteJune 14, 2017en_US
dc.description.abstractSampling-based planners struggle when the valid configurations are constrained to an implicit manifold. Special planners have been proposed for this problem recently. Our new framework is decoupled from any particular planner and augments existing algorithms not explicitly designed for constraint planning. We demonstrate the advantages of our generalized approach.en_US
dc.format.extent9 ppen_US
dc.identifier.citationVoss, Caleb, Moll, Mark and Kavraki, Lydia E.. "Atlas + X: Sampling-based Planners on Constraint Manifolds." (2017) https://hdl.handle.net/1911/96421.en_US
dc.identifier.digitalTR17-02en_US
dc.identifier.urihttps://hdl.handle.net/1911/96421en_US
dc.language.isoengen_US
dc.rightsYou are granted permission for the noncommercial reproduction, distribution, display, and performance of this technical report in any format, but this permission is only for a period of forty-five (45) days from the most recent time that you verified that this technical report is still available from the Computer Science Department of Rice University under terms that include this permission. All other rights are reserved by the author(s).en_US
dc.titleAtlas + X: Sampling-based Planners on Constraint Manifoldsen_US
dc.typeTechnical reporten_US
dc.type.dcmiTexten_US
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