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dc.contributor.authorJames K. Hopkins
dc.contributor.authorBrent W. Spranklin
dc.contributor.authorSatyandra K. Gupta
dc.date.accessioned2017-05-09T00:46:06Z
dc.date.available2017-05-09T00:46:06Z
dc.date.copyrightFebruary, 2011
dc.date.issued2011
dc.identifier.issn1942-4302
dc.identifier.otherJMROA6-28007#014503_1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl/handle/yetl/147188
dc.description.abstractPhysical parameters of the constituent modules and gait parameters affect the overall performance of snake-inspired robots. Hence, a system-level optimization model needs to concurrently optimize the module parameters and the gait. Incorporating a physics-based model of rectilinear gaits in the system-level optimization model is a computationally challenging problem. This paper presents a case study to illustrate how metamodels of the precomputed optimal rectilinear gaits can be utilized to reduce the complexity of the system-level optimization model. An example is presented to illustrate the importance of concurrently optimizing the module parameters and the gait to obtain the optimal performance for a given mission.
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleA Case Study in Optimization of Gait and Physical Parameters for a Snake-Inspired Robot Based on a Rectilinear Gait
dc.typeJournal Paper
dc.journal.volume3
dc.journal.issue1
dc.journal.titleJournal of Mechanisms and Robotics
dc.identifier.doi10.1115/1.4003077
dc.journal.fristpage14503
dc.identifier.eissn1942-4310
dc.keywordsRobots AND Optimization
dc.treeJournal of Mechanisms and Robotics:;2011:;volume( 003 ):;issue: 001
dc.contenttypeFulltext


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