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dc.contributor.authorSpielberg, Andrew
dc.contributor.authorDu, Tao
dc.contributor.authorHu, Yuanming
dc.contributor.authorRus, Daniela
dc.contributor.authorMatusik, Wojciech
dc.date.accessioned2022-07-18T13:11:50Z
dc.date.available2022-07-18T13:11:50Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143792
dc.description.abstract<jats:title>Abstract</jats:title> <jats:p>We present extensions to ChainQueen, an open source, fully differentiable material point method simulator for soft robotics. Previous work established ChainQueen as a powerful tool for inference, control, and co-design for soft robotics. We detail enhancements to ChainQueen, allowing for more efficient simulation and optimization and expressive co-optimization over material properties and geometric parameters. We package our simulator extensions in an easy-to-use, modular application programming interface (API) with predefined observation models, controllers, actuators, optimizers, and geometric processing tools, making it simple to prototype complex experiments in 50 lines or fewer. We demonstrate the power of our simulator extensions in over nine simulated experiments.</jats:p>en_US
dc.language.isoen
dc.publisherCambridge University Press (CUP)en_US
dc.relation.isversionof10.1017/S0263574721000722en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceCambridge University Pressen_US
dc.titleAdvanced soft robot modeling in ChainQueenen_US
dc.typeArticleen_US
dc.identifier.citationSpielberg, Andrew, Du, Tao, Hu, Yuanming, Rus, Daniela and Matusik, Wojciech. 2021. "Advanced soft robot modeling in ChainQueen." Robotica.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.relation.journalRoboticaen_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.updated2022-07-18T12:39:50Z
dspace.orderedauthorsSpielberg, A; Du, T; Hu, Y; Rus, D; Matusik, Wen_US
dspace.date.submission2022-07-18T12:39:51Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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