Adaptive walking control of quadruped robots based on central pattern generator (CPG) and reflex

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摘要 Thispaperpresentsacentralpatterngenerator(CPG)andvestibularreflexcombinedcontrolstrategyforaquadrupedrobot.Anoscillatornetworkandaknee-to-hipmappingfunctionarepresentedtorealizetherhythmicmotionforthequadrupedrobot.Atwo-phaseparametertuningmethodisdesignedtoadjusttheparametersofoscillatornetwork.First,basedonthenumericalsimulation,theinfluencesoftheparametersontheoutputsignalsareanalyzed,thenthegeneticalgorithm(GA)isusedtoevolvethephaserelationshipsoftheoscillatorstorealizethebasicanimal-likewalkingpattern.Moreover,theanimal'svestibularreflexmechanismismimickedtorealizetheadaptivewalkingofthequadrupedrobotonaslopeterrain.Coupledwiththesensoryfeedbackinformation,therobotcanwalkupanddowntheslopesmoothly.Thepresentedbio-inspiredcontrolmethodisvalidatedthroughsimulationsandexperimentswithAIBO.UnderthecontrolofthepresentedCPGandvestibularreflexcombinedcontrolmethod,AIBOcancopewithslipping,fallingdownandwalkonaslopesuccessfully,whichdemonstratestheeffectivenessoftheproposedwalkingcontrolmethod.
机构地区 不详
出版日期 2013年03月13日(中国期刊网平台首次上网日期,不代表论文的发表时间)
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