欢迎来到天天文库
浏览记录
ID:34560750
大小:1.77 MB
页数:29页
时间:2019-03-07
《Robot Learning by Demonstration.pdf》由会员上传分享,免费在线阅读,更多相关内容在学术论文-天天文库。
1、SchoolofComputerScienceInternshipProjectReportRobotLearningbyDemonstrationSupervisor:Author:Dr.GerhardLakemeyerKaushikSubramanianHeadofKnowledgeBasedSystemsRutgersUniversityGroupAugust31,2009AbstractInthisreport,twosystemshavebeendevelopedforrobotbehavioracq
2、uisi-tionusingkinestheticdemonstrations.TherstenablesahumanoidrobottoimitateconstrainedreachinggesturesdirectedtowardsatargetusingalearningalgorithmbasedonGaussianMixtureRegression.Theimitationtrajectorycanbereshapedinordertosatisfytheconstraintsofthetaskan
3、ditcanadapttochangesintheinitialconditionsandtotargetdisplace-mentsoccurringduringthemovementexecution.Thesecondisfocusedonbehaviorlearningandwalk-gaitoptimizationbysimulationusingSwarmIntelligence.Thetnessofeachswarmparticleisevaluatedusingasim-ulatoruntil
4、theexpectedbehaviorisreproducedandthentestedontherealrobot.ThepotentialofthesemethodsisevaluatedusingexperimentsinvolvingAldebaran'sNaohumanoidrobotandFawkes,anopensourcerobotsoftwarebytheKBSGatRWTHUniversity.Contents1Introduction21.1Motivation..............
5、..............21.2Contents..............................32TaskSpaceBehaviorLearningusingGMR42.1SystemInputs...........................42.1.1KinestheticDemonstrations...............42.1.2TaskConstraints.....................62.2GaussianMixtureRegression.......
6、...........72.3TrajectoryReproduction.....................92.4ExperimentsandResults.....................102.4.1Observations.......................142.5Limitations............................143BehaviorLearningviaSimulationusingSwarmIntelligence173.1Introduct
7、ion............................173.2BehavioralControlPoints....................173.2.1PrincipalComponentAnalysis.............173.3ParticleSwarmOptimization..................183.4FitnessEvaluationusingWebotsSimulator..........193.5ExtensiontoWalkGaitOptimizat
8、ion.............214Conclusion22Bibliography24AComputerprograms261Chapter1Introduction1.1MotivationToteachtherobotnewbehaviorswithoutextensiveprogramming.ThereareanumberofissuesthatpersistinLearn
此文档下载收益归作者所有