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dc.contributor.authorIida, Fumiya
dc.contributor.authorTedrake, Russell Louis
dc.date.accessioned2012-08-06T20:48:34Z
dc.date.available2012-08-06T20:48:34Z
dc.date.issued2010-01
dc.date.submitted2009-04
dc.identifier.issn0929-5593
dc.identifier.issn1573-7527
dc.identifier.urihttp://hdl.handle.net/1721.1/72000
dc.description.abstractToward our comprehensive understanding of legged locomotion in animals and machines, the compass gait model has been intensively studied for a systematic investigation of complex biped locomotion dynamics. While most of the previous studies focused only on the locomotion on flat surfaces, in this article, we tackle with the problem of bipedal locomotion in rough terrains by using a minimalistic control architecture for the compass gait walking model. This controller utilizes an open-loop sinusoidal oscillation of hip motor, which induces basic walking stability without sensory feedback. A set of simulation analyses show that the underlying mechanism lies in the “phase locking” mechanism that compensates phase delays between mechanical dynamics and the open-loop motor oscillation resulting in a relatively large basin of attraction in dynamic bipedal walking. By exploiting this mechanism, we also explain how the basin of attraction can be controlled by manipulating the parameters of oscillator not only on a flat terrain but also in various inclined slopes. Based on the simulation analysis, the proposed controller is implemented in a real-world robotic platform to confirm the plausibility of the approach. In addition, by using these basic principles of self-stability and gait variability, we demonstrate how the proposed controller can be extended with a simple sensory feedback such that the robot is able to control gait patterns autonomously for traversing a rough terrain.en_US
dc.description.sponsorshipNational Science Foundation (U.S.) (grant 0746194)en_US
dc.description.sponsorshipSwiss National Science Foundation (grant PBZH2-114461)en_US
dc.description.sponsorshipSwiss National Science Foundation (grant PP00P2_123387/1)en_US
dc.language.isoen_US
dc.publisherSpringer Netherlandsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s10514-009-9174-3en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alike 3.0en_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/en_US
dc.sourceTedrake via Amy Stouten_US
dc.titleMinimalistic control of biped walking in rough terrainen_US
dc.typeArticleen_US
dc.identifier.citationIida, Fumiya, and Russ Tedrake. “Minimalistic control of biped walking in rough terrain.” Autonomous Robots 28.3 (2010): 355-368.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.journalAutonomous Robotsen_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/BookItemen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dspace.orderedauthorsIida, Fumiya; Tedrake, Russen
dc.identifier.orcidhttps://orcid.org/0000-0002-8712-7092
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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