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dc.contributor.authorSeok, Sangok
dc.contributor.authorOnal, Cagdas
dc.contributor.authorWood, Robert
dc.contributor.authorRus, Daniela L.
dc.contributor.authorKim, Sangbae
dc.date.accessioned2012-09-04T19:36:32Z
dc.date.available2012-09-04T19:36:32Z
dc.date.issued2010-07
dc.date.submitted2010-05
dc.identifier.isbn978-1-4244-5040-4
dc.identifier.isbn978-1-4244-5038-1
dc.identifier.issn1050-4729
dc.identifier.urihttp://hdl.handle.net/1721.1/72510
dc.description.abstractThis paper presents a soft robotic platform that exhibits peristaltic locomotion. The design principle is based on the unique antagonistic arrangement of radial/circular and longitudinal muscle groups of Oligochaeta. Sequential antagonistic motion is achieved in a flexible braided mesh-tube structure with NiTi coil actuators. A numerical model for the mesh structure describes how peristaltic motion induces robust locomotion and details the deformation by the contraction of NiTi actuators. Several peristaltic locomotion modes are modeled, tested, and compared on the basis of locomotion speed. The entire mechanical structure is made of flexible mesh materials and can withstand significant external impacts during locomotion. This approach can enable a completely soft robotic platform by employing a flexible control unit and energy sources.en_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency (Grant number W911NF-08-C-0060)en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ROBOT.2010.5509542en_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.sourceIEEEen_US
dc.titlePeristaltic Locomotion with Antagonistic Actuators in Soft Roboticsen_US
dc.typeArticleen_US
dc.identifier.citationSangok Seok et al. “Peristaltic Locomotion with Antagonistic Actuators in Soft Robotics.” IEEE International Conference on Robotics and Automation 2010 (ICRA). 1228–1233. © Copyright 2010 IEEEen_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineeringen_US
dc.contributor.departmentMassachusetts Institute of Technology. School of Engineeringen_US
dc.contributor.approverRus, Daniela L.
dc.contributor.mitauthorSeok, Sangok
dc.contributor.mitauthorOnal, Cagdas
dc.contributor.mitauthorRus, Daniela L.
dc.contributor.mitauthorKim, Sangbae
dc.relation.journalIEEE International Conference on Robotics and Automation 2010 (ICRA)en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsSangok Seok; Onal, Cagdas D; Wood, Robert; Rus, Daniela; Sangbae Kim, Danielaen
dc.identifier.orcidhttps://orcid.org/0000-0001-5473-3566
dc.identifier.orcidhttps://orcid.org/0000-0002-0218-6801
dspace.mitauthor.errortrue
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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