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dc.contributor.authorByl, Katie
dc.contributor.authorTedrake, Russell Louis
dc.date.accessioned2011-07-06T20:04:33Z
dc.date.available2011-07-06T20:04:33Z
dc.date.issued2009-05
dc.identifier.isbn978-1-4244-2789-5
dc.identifier.issn1050-4729
dc.identifier.urihttp://hdl.handle.net/1721.1/64752
dc.description.abstractIn this video, we demonstrate the effectiveness of a kinodynamic planning strategy that allows a high-impedance quadruped to operate across a variety of rough terrain. At one extreme, the robot can achieve precise foothold selection on intermittent terrain. More surprisingly, the same inherently-stiff robot can also execute highly dynamic and underactuated motions with high repeatability. This range of dynamic motion is possible through careful reasoning about the coupled dynamics during underactuated phases of motion. Our results demonstrate visceral progress toward realization of one of the central theoretically claims giving legged locomotion a “leg-up” over wheeled robotics: that appropriate design of control can produce a set of capabilities which span a dynamic range from deliberate foothold selection through acrobatic-style motion on a single, particular robot.en_US
dc.description.sponsorshipUnited States. Defense Advanced Research Projects Agency (Learning Locomotion program (AFRL contract # FA8650-05-C-7262))en_US
dc.language.isoen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/ROBOT.2009.5152757en_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.titleDynamically diverse legged locomotion for rough terrainen_US
dc.typeArticleen_US
dc.identifier.citationByl, Katie, and Russ Tedrake. “Dynamically Diverse Legged Locomotion for Rough Terrain.” Proceedings of the 2009 IEEE International Conference on Robotics and Automation, Kobe International Conference Center, Kobe, Japan, May 12-17, 2009 1607-1608. © Copyright 2009 IEEE.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.approverTedrake, Russell Louis
dc.contributor.mitauthorTedrake, Russell Louis
dc.relation.journalIEEE International Conference on Robotics and Automation, 2009. ICRA '09en_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
dspace.orderedauthorsByl, Katie; Tedrake, Russen
dc.identifier.orcidhttps://orcid.org/0000-0002-8712-7092
mit.licensePUBLISHER_POLICYen_US
mit.metadata.statusComplete


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