Mechanical Systems Mechanical Systems 53AssociateProfessorHehasbeenafacultyatShinshuUniversitysince2012.Hiscurrentresearchinterestsaretheintelligentsensingsystemsandthehigh-accuracysensingtechniquesrelatingthem.Associate ProfessorPhD in Eng. 2018, Shinshu Univ. His research interests include data-driven control and cooperative control of human and robot.EngineeringEngineeringSensingtechniquesareessentialstoachievesimpleandhighlyefficientmechatronicssystems.InTakayama-Laboratory,non-destructiveornon-contactsensingtechniqueshavebeenstudiedbasedonpropagationorreflectionanalysisofwaves,suchassound,light,andradioorelectromagneticwaves.Inaddition,weaimtoimprovethesetechniquesanddevelopan“intelligentsensingsystem”thatadaptivelychangesitsmeasurementdimension,precisionorresolutioninresponsetosensingtargetsorpurposes.Jun-yaTakayamaMasaya TanemuraWhatkindofsocietycanyouimaginewiththeadvanceofsensingtechniques?It’sasocietywheresensingandcontroltechniquesarefusedwithfullyautomatedmechanicaldevices.Forexample,iftheisfullyrecognizedbythesurroundingenvironmentthecarwilloperateadvancedsensingtechniques,automatically.futuretechnologies,suchasperfectautonomousrobotsthatcooperateswithhumans,willcometrue.SensingtechniquesarethefundamentalelementstorealizevarioussuchaskinematiccontrolandexternalrecognitionofrobotsTherefore,ourstudentscanusetheirknowledgeandproblem-solvingabilitiesobtainedthroughacademicresearchesinvariousbeyondmechanicalengineering.Controlforexample,mechanicalsystems,electricsystems,andthecontributionuseful.Especially,analysismethodsbasedondataareimportantandwillbecomenewmethodswiththedevelopmentoftechniquesofmachinelearningorAI.InourcontrolindustrialStudentssucceedasengineers.Inaddition,anumberofscientifictechnologiesresearchfieldstheoryisusedinmanyeconomiconsystems.controltheorylaboratory,studentslearnthebasicsoftheory.Automaticcontrolisusedinmanytool.willfieldsandsoisanessentialacquiringtechniquescontrolforexample,mechanicalControlsystems,electricsystems,andeconomicsystems.Especially,westudycontrolmethodsformechanicalsystems,suchas,torsionalvibrationsystem,andflexiblestructuresystem.Itisnecessarytoanalyzethosesystemstocontrolthem.Inourlaboratory,analysismethodsbasedoninput-outputdataofsystemsaredeveloped.Recently,techniquesofbigdataanalyticsareattractingourattentionandhavebeendeveloped.Therefore,ourmethodswouldbeusedmoreextensivelyinthebigdataera.areas,Therefore,isPhotograph of the electromagnetic wave radar systems and cross-sectional surface image of inner structure obtained by them.Photograph of localization experiment for the wireless sensor nodes. Good localization result is obtained from rough RF information.Torsional vibration systemCooperative control of human and robotIn the FutureAfter Graduationtheoryisappliedtomanyareas,In the FutureAfter GraduationRealization of Intelligent Sensing Systemsthat can think about their Own PerformanceSystem Analysis for Control and Its Applications
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