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dc.contributor.authorLozano-Perez, Tomas
dc.contributor.authorKaelbling, Leslie P.
dc.date.accessioned2016-01-06T16:08:47Z
dc.date.available2016-01-06T16:08:47Z
dc.date.issued2014-09
dc.identifier.isbn978-1-4799-6934-0
dc.identifier.isbn978-1-4799-6931-9
dc.identifier.urihttp://hdl.handle.net/1721.1/100722
dc.description.abstractIn this paper, we describe a strategy for integrated task and motion planning based on performing a symbolic search for a sequence of high-level operations, such as pick, move and place, while postponing geometric decisions. Partial plans (skeletons) in this search thus pose a geometric constraint-satisfaction problem (CSP), involving sequences of placements and paths for the robot, and grasps and locations of objects. We propose a formulation for these problems in a discretized configuration space for the robot. The resulting problems can be solved using existing methods for discrete CSP.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 019868)en_US
dc.description.sponsorshipUnited States. Office of Naval Research. Multidisciplinary University Research Initiative (Grant N00014-09-1-1051)en_US
dc.description.sponsorshipUnited States. Air Force Office of Scientific Research (Grant AOARD-104135)en_US
dc.description.sponsorshipSingapore. Ministry of Education (SUTD-MIT International Design Centre)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/IROS.2014.6943079en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleA constraint-based method for solving sequential manipulation planning problemsen_US
dc.typeArticleen_US
dc.identifier.citationLozano-Perez, Tomas, and Leslie Pack Kaelbling. “A Constraint-Based Method for Solving Sequential Manipulation Planning Problems.” 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (September 2014).en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorLozano-Perez, Tomasen_US
dc.contributor.mitauthorKaelbling, Leslie P.en_US
dc.relation.journalProceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systemsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsLozano-Perez, Tomas; Kaelbling, Leslie Packen_US
dc.identifier.orcidhttps://orcid.org/0000-0002-8657-2450
dc.identifier.orcidhttps://orcid.org/0000-0001-6054-7145
mit.licenseOPEN_ACCESS_POLICYen_US


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