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dc.contributor.authorLi, Shen
dc.contributor.authorFigueroa, Nadia
dc.contributor.authorShah, Ankit
dc.contributor.authorShah, Julie
dc.date.accessioned2022-10-12T13:43:03Z
dc.date.available2022-10-12T13:43:03Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/145785
dc.language.isoen
dc.publisherRobotics: Science and Systems Foundationen_US
dc.relation.isversionof10.15607/RSS.2021.XVII.050en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceProf. Shahen_US
dc.titleProvably Safe and Efficient Motion Planning with Uncertain Human Dynamicsen_US
dc.typeArticleen_US
dc.identifier.citationLi, Shen, Figueroa, Nadia, Shah, Ankit and Shah, Julie. 2021. "Provably Safe and Efficient Motion Planning with Uncertain Human Dynamics." Robotics: Science and Systems XVII.
dc.contributor.departmentMassachusetts Institute of Technology. Department of Aeronautics and Astronauticsen_US
dc.relation.journalRobotics: Science and Systems XVIIen_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.updated2022-10-12T13:26:52Z
dspace.orderedauthorsLi, S; Figueroa, N; Shah, A; Shah, Jen_US
dspace.date.submission2022-10-12T13:26:54Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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