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dc.contributor.authorGothoskar, Nishad
dc.contributor.authorLazaro-Gredilla, Miguel
dc.contributor.authorBekiroglu, Yasemin
dc.contributor.authorAgarwal, Abhishek
dc.contributor.authorTenenbaum, Joshua B
dc.contributor.authorMansinghka, Vikash K
dc.contributor.authorGeorge, Dileep
dc.date.accessioned2023-04-04T16:43:30Z
dc.date.available2023-04-04T16:43:30Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/150400
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/ICRA46639.2022.9811607en_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.titleDURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative modelen_US
dc.typeArticleen_US
dc.identifier.citationGothoskar, Nishad, Lazaro-Gredilla, Miguel, Bekiroglu, Yasemin, Agarwal, Abhishek, Tenenbaum, Joshua B et al. 2022. "DURableVS: Data-efficient Unsupervised Recalibrating Visual Servoing via online learning in a structured generative model." 2022 International Conference on Robotics and Automation (ICRA).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journal2022 International Conference on Robotics and Automation (ICRA)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-04-04T16:33:02Z
dspace.orderedauthorsGothoskar, N; Lazaro-Gredilla, M; Bekiroglu, Y; Agarwal, A; Tenenbaum, JB; Mansinghka, VK; George, Den_US
dspace.date.submission2023-04-04T16:33:03Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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