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dc.contributor.authorGarrett, Caelan
dc.contributor.authorHuang, Yijiang
dc.contributor.authorLozano-Perez, Tomas
dc.contributor.authorMueller, Caitlin
dc.date.accessioned2021-11-05T19:29:49Z
dc.date.available2021-11-05T19:29:49Z
dc.date.issued2020-07-12
dc.identifier.urihttps://hdl.handle.net/1721.1/137597
dc.language.isoen
dc.publisherRobotics: Science and Systems Foundationen_US
dc.relation.isversionof10.15607/rss.2020.xvi.092en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleScalable and Probabilistically Complete Planning for Robotic Spatial Extrusionen_US
dc.typeArticleen_US
dc.identifier.citationGarrett, Caelan, Huang, Yijiang, Lozano-Perez, Tomas and Mueller, Caitlin. 2020. "Scalable and Probabilistically Complete Planning for Robotic Spatial Extrusion." Robotics: Science and Systems XVI.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Architecture
dc.relation.journalRobotics: Science and Systems XVIen_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
dc.date.updated2021-01-28T19:23:20Z
dspace.orderedauthorsGarrett, C; Huang, Y; Lozano-Perez, T; Mueller, Cen_US
dspace.date.submission2021-01-28T19:23:31Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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