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dc.contributor.authorChin, Lillian T.
dc.contributor.authorYuen, Michelle C.
dc.contributor.authorLipton, Jeffrey I
dc.contributor.authorTrueba, Luis H.
dc.contributor.authorKramer-Bottiglio, Rebecca
dc.contributor.authorRus, Daniela L
dc.date.accessioned2019-11-26T20:29:23Z
dc.date.available2019-11-26T20:29:23Z
dc.date.issued2019-05
dc.identifier.urihttps://hdl.handle.net/1721.1/121154
dc.description.abstractCompliant robotic grippers are more robust to uncertainties in grasping and manipulation tasks, especially when paired with tactile and proprioceptive feedback. Although considerable progress has been made towards achieving proprioceptive soft robotic grippers, current efforts require complex driving hardware or fabrication techniques. In this paper, we present a simple scalable soft robotic gripper integrated with high-deformation strain and pressure sensors. The gripper is composed of structurally-compliant handed shearing auxetic structures actuated by electric motors. Coupling deformable sensors with the compliant grippers enables gripper proprioception and object classification. With this sensorized system, we are able to identify objects’ size to within 33% of actual radius and sort objects as hard / soft with 78% accuracy.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (Grant 1122374)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttps://ras.papercept.net/conferences/conferences/ICRA19/program/ICRA19_ContentListWeb_1.html#moc1-12_04en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceChin, Lillianen_US
dc.titleA Simple Electric Soft Robotic Gripper with High-Deformation Haptic Feedbacken_US
dc.typeArticleen_US
dc.identifier.citationChin, Lillian et al. "A Simple Electric Soft Robotic Gripper with High-Deformation Haptic Feedback." IEEE International Conference on Robotics and Automation, May 2019, Montreal, Canada, Institute of Electrical and Electronics Engineers (IEEE), May 2019 © 2019 IEEE Robotics & Automation Societyen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.approverChin, Lillian T.en_US
dc.relation.journalIEEE International Conference on Robotics and Automationen_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
dspace.embargo.termsNen_US
dspace.date.submission2019-04-04T11:14:33Z


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