简介：Themodulationandcontrolofgecko'sfootmovementswerestudiedelectrophysiologicallyinordertodesignthemotorcontrolsystemofagecko-mimicrobot.Inthisstudy(1)theanatomyoftheperipheralnervescontrollingthegecko'sfootmovementswasdetermined;(2)therelationshipbetweenthelimbnervesofthegeckoanditsfootmotorpatternswasstudied;(3)theafferentimpulsesofthenervesevokedbyrubbingthegecko'stoesandpalmwererecorded;(4)copyingthenaturalpatternsofmovementofthegecko'sfoot(abduction,adduction,flexion,andrevolution)anditslimbnervemodulationandcontrolmechanism,thenerveswerestimulatedundercomputercontrol,andtheresultsrecordedbyCCD.Resultssuggestthatgecko'sfootmovementscanbesuccessfullycontrolledbyartificialelectricalsignals.

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简介：AflexiblehingelesscontrolsurfacemodelwasproposedformotioncontrolofUnderwaterVehicles(UVs),whichisinspiredbytheflexiblebendingcontrolsurfacesofunderwatercreatures,suchasfishandsquid.ComputationalFluidDynamics(CFD)simulationdemonstratesthat,incomparisonwiththehingedorrigidcontrolsurface,theproposedflexiblebendingcontrolsurfacecansuppresstheflowseparationsoastoimprovetheturningperformance.Aprototypeoftheflexiblecontrolsurfacewasfabricated,inwhichShapeMemoryAlloy(SMA)wireswereselectedastheactuators.Theelasticenergystorageandexchangemechanismwasincorporatedintotheactuationofthecontrolsurfacetoimprovetheefficiency.ThermalanalysisofSMAwireswasperformedtofindproperactuatingcondition.Open-loopbendingexperimentswerecarriedout.Theresultsshowthattheproposedcontrolsurfacecanachievethemaximumbendingangleof104°.Moreover,thepowerandenergyconsumptionunderdifferentpulseconditionswerecompared.

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简介：Asystemisdescribedherethatcannoninvasivelycontrolthenavigationoffreelybehavingratviaultrasonic,epidermalandLEDphoticstimulatorsontheback.Thesystemreceivescommandsfromaremotehostcomputertodeliverspecifiedelectricalstimulationstothehearing,painandvisualsensesoftheratrespectively.Theresultsdemonstratethatthethreestimuliworkingroupsfortheratnavigation.Wecancontroltherattoproceedandmakerightandleftturnswithgreatefficiency.Thisexperimentverifiedthattheratwasabletoreachasettingdestinationinthewayofcablewiththehelpofapersonthroughtheappropriatecoordinationofthethreestimulators.Thetelemetryvideocameramountedontheheadoftheratalsoachieveddistantimageacquisitionandhelpedtoadjustitsnavigationpathoveradistanceof300m.Inaword,thenon-invasivemotioncontrolnavigationsystemisagood,stableandreliablebio-robot.

简介：Aroboticfish,BASEMACK1,isdesignedandfabricatedbymimickingtheshapeofalivemackerel.ThreeDCservo-motorsareseriallylinkedtogetherandactuatedtomimicthemackerel'sCarangiformmotion.Hydrodynamiccharac-teristicsofafish-mimetictestmodelareexperimentallyidentifiedandutilizedinordertonumericallysimulatefishswimming.Thediscretesetofkinematicanddynamicparametersareobtainedbyconsideringrequiredhorizontalandlateralforcesandminimumenergyconsumption.Usingtheoptimizedparameterset,optimalcontroloftherobotisstudied.

简介：OptimalformationreconfigurationcontrolofmultipleUninhabitedCombatAirVehicles(UCAVs)isacomplicatedglobaloptimumproblem.ParticleSwarmOptimization(PSO)isapopulationbasedstochasticoptimizationtechniqueinspiredbysocialbehaviourofbirdflockingorfishschooling.PSOcanachievebetterresultsinafaster,cheaperwaycomparedwithotherbio-inspiredcomputationalmethods,andtherearefewparameterstoadjustinPSO.Inthispaper,weproposeanimprovedPSOmodelforsolvingtheoptimalformationreconfigurationcontrolproblemformultipleUCAVs.Firstly,theControlParameteri-zationandTimeDiscretization(CPTD)methodisdesignedindetail.Then,themutationstrategyandaspecialmutation-escapeoperatorareadoptedintheimprovedPSOmodeltomakeparticlesexplorethesearchspacemoreefficiently.Theproposedstrategycanproducealargespeedvaluedynamicallyaccordingtothevariationofthespeed,whichmakesthealgorithmexplorethelocalandglobalminimathoroughlyatthesametime.SeriesexperimentalresultsdemonstratethefeasibilityandeffectivenessoftheproposedmethodinsolvingtheoptimalformationreconfigurationcontrolproblemformultipleUCAVs.

简介：TheproblemofflappingmotioncontrolofMicroAirVehicles(MAVs)withflappingwingswasstudiedinthispaper.Basedupontheknowledgeofskeletalandmuscularcomponentsofhummingbird,adynamicmodelforflappingwingwasdeveloped.AcontrolschemeinspiredbyhumanmemoryandlearningconceptwasconstructedforwingmotioncontrolofMAVs.Thesalientfeatureoftheproposedcontrolliesinitscapabilitiestoimprovethecontrolperformancebylearningfromexperienceandobservationonitscurrentandpastbehaviors,withouttheneedforsystemdynamicinformation.Furthermore,theoverallcontrolschemehasafairlysimplestructureanddemandslittleonlinecomputations,makingitattractiveforreal-timeimplementationonMAVs.Boththeoreticalanalysisandcomputersimulationconfirmsitseffectiveness.

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