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Bridging Walking and Slithering – Stokesian Locomotion

dc.contributor.authorRevzen, Shai
dc.contributor.authorZhao, Dan
dc.contributor.authorClifton, Glenna
dc.contributor.authorGravish, Nicholas
dc.date.accessioned2022-04-20T16:28:54Z
dc.date.available2022-04-20T16:28:54Z
dc.date.issued2021-05-20
dc.identifier.urihttps://hdl.handle.net/2027.42/172173en
dc.descriptionThis a peer reviewed 1-page extended abstract for a talk given at the Dynamic Walking conference, 2021en_US
dc.description.abstractBoth legged locomotion and slithering motions typically utilize periodic gaits – repeating cycles of body shape change that produce a net motion through the world. Legged locomotion can be viewed from the perspective of piecewise contact constraint formation and removal. Slithering and low Reynolds number swimming operate under continuous constraints of force balance, wherein dissipation removes the ability to accumulate momentum. Here we discuss how to bridge the gap between these domains of motion, thereby, among other benefits, producing models for the space of legged locomotion with slipping. The connective fabric is the use of a “Stokesian”, or “local connection” model.en_US
dc.description.sponsorshipArmy Research Office Defense University Research Instrumentation Program grant W911NF-17-1-0243 Army Research Office Multi University Research Initiative grant W911NF-17-1-0306 National Science Foundation Civil, Mechanical and Manufacturing Innovation grant 1825918 D. Dan and Betty Kahn Michigan-Israel Partnership for Research and Education Autonomous Systems Mega-Projecten_US
dc.language.isoen_USen_US
dc.rightsAttribution-ShareAlike 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0/*
dc.subjectlocomotionen_US
dc.subjecttheoretical mechanicsen_US
dc.subjectbiomechanicsen_US
dc.titleBridging Walking and Slithering – Stokesian Locomotionen_US
dc.typeOtheren_US
dc.subject.hlbsecondlevelComputer Science
dc.subject.hlbsecondlevelElectrical Engineering
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumElectrical Engineering and Computer Scienceen_US
dc.contributor.affiliationumEcology and Evolutionary Biologyen_US
dc.contributor.affiliationumRoboticsen_US
dc.contributor.affiliationumMechanical Engineeringen_US
dc.contributor.affiliationotherDepartment of Biology, University of Portland, Portland, Oregonen_US
dc.contributor.affiliationotherMechanical & Aerospace Engineering, University of California San Diegoen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/172173/1/DW2021-1.pdf
dc.identifier.doihttps://dx.doi.org/10.7302/4322
dc.identifier.sourceDynamic Walkingen_US
dc.description.mapping84b631d7-aa77-4c16-b024-4ad83d186b3cen_US
dc.identifier.orcid0000-0002-2989-0356en_US
dc.identifier.orcid0000-0003-0095-0818en_US
dc.identifier.orcid0000-0002-5806-7254en_US
dc.identifier.orcid0000-0002-9391-2476en_US
dc.description.filedescriptionDescription of DW2021-1.pdf : Main document
dc.description.depositorSELFen_US
dc.identifier.name-orcidRevzen, Shai; 0000-0002-2989-0356en_US
dc.identifier.name-orcidZhao, Dan; 0000-0003-0095-0818en_US
dc.identifier.name-orcidClifton, Glenna; 0000-0002-5806-7254en_US
dc.identifier.name-orcidGravish, Nicholas; 0000-0002-9391-2476en_US
dc.working.doi10.7302/4322en_US
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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