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dc.contributor.authorChoi, HeeSun
dc.contributor.authorCrump, Cindy
dc.contributor.authorDuriez, Christian
dc.contributor.authorElmquist, Asher
dc.contributor.authorHager, Gregory
dc.contributor.authorHan, David
dc.contributor.authorHearl, Frank
dc.contributor.authorHodgins, Jessica
dc.contributor.authorJain, Abhinandan
dc.contributor.authorLeve, Frederick
dc.contributor.authorLi, Chen
dc.contributor.authorMeier, Franziska
dc.contributor.authorNegrut, Dan
dc.contributor.authorRighetti, Ludovic
dc.contributor.authorRodriguez, Alberto
dc.contributor.authorTan, Jie
dc.contributor.authorTrinkle, Jeff
dc.date.accessioned2022-01-14T19:58:12Z
dc.date.available2022-01-14T19:58:12Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/139616
dc.description.abstract© 2021 National Academy of Sciences. All rights reserved. The last five years marked a surge in interest for and use of smart robots, which operate in dynamic and unstructured environments and might interact with humans. We posit that well-validated computer simulation can provide a virtual proving ground that in many cases is instrumental in understanding safely, faster, at lower costs, and more thoroughly how the robots of the future should be designed and controlled for safe operation and improved performance. Against this backdrop, we discuss how simulation can help in robotics, barriers that currently prevent its broad adoption, and potential steps that can eliminate some of these barriers. The points and recommendations made concern the following simulation-in-robotics aspects: simulation of the dynamics of the robot; simulation of the virtual world; simulation of the sensing of this virtual world; simulation of the interaction between the human and the robot; and, in less depth, simulation of the communication between robots. This Perspectives contribution summarizes the points of view that coalesced during a 2018 National Science Foundation/Department of Defense/National Institute for Standards and Technology workshop dedicated to the topic at hand. The meeting brought together participants from a range of organizations, disciplines, and application fields, with expertise at the intersection of robotics, machine learning, and physics-based simulation.en_US
dc.language.isoen
dc.publisherProceedings of the National Academy of Sciencesen_US
dc.relation.isversionof10.1073/PNAS.1907856118en_US
dc.rightsArticle is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.en_US
dc.sourcePNASen_US
dc.titleOn the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forwarden_US
dc.typeArticleen_US
dc.identifier.citationChoi, HeeSun, Crump, Cindy, Duriez, Christian, Elmquist, Asher, Hager, Gregory et al. 2021. "On the use of simulation in robotics: Opportunities, challenges, and suggestions for moving forward." Proceedings of the National Academy of Sciences of the United States of America, 118 (1).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.relation.journalProceedings of the National Academy of Sciences of the United States of Americaen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-01-14T19:50:26Z
dspace.orderedauthorsChoi, H; Crump, C; Duriez, C; Elmquist, A; Hager, G; Han, D; Hearl, F; Hodgins, J; Jain, A; Leve, F; Li, C; Meier, F; Negrut, D; Righetti, L; Rodriguez, A; Tan, J; Trinkle, Jen_US
dspace.date.submission2022-01-14T19:50:28Z
mit.journal.volume118en_US
mit.journal.issue1en_US
mit.licensePUBLISHER_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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