Willow Garage May 2010 CRAM Team IAS brPage 3br CRAM CRAM Perception CRAM Knowledge Processing CRAM Planbased Control Demonstrations setting the table cleaning the table 2 simple meal preparation tasks strong emphasis on inferring right actions and ID: 44287
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CRAM—CognitiveRobotAbstractMachines MichaelBeetz,GordonCheng,andMatthiasKranz andIntelligentAutonomousSystemsGroup TechnischeUniversitätMünchenWillowGarage,May2010 CRAM CRAMPerceptionCRAMKnowledgeProcessingCRAMPlan-basedControl Cognition-enabledControlforEverydayManipulation *with compact controlprogramsperformingan open-endedset of everydaymanipulationtasks like I layingthetableand I cleaningup humanenvironments ina natural , general , skillful , exible and reliable manner. WillowGarage,May2010TeamIAS CRAM CRAMPerceptionCRAMKnowledgeProcessingCRAMPlan-basedControl Demonstrations I settingthetable,cleaningthetable I 2simplemealpreparationtasksstrongemphasison Iinferring rightactionsandactionparameterizations, Ianswering queriesaboutwhattherobotdidandwhyExamples:infer I missingitemsonthetable I whereobjectsbelong I howobjectsmustbehandled I wheretostand,howtoreach,whichgrasptype,wheretograsp,howmuchgraspforce,etc WillowGarage,May2010TeamIAS CRAM CRAMPerceptionCRAMKnowledgeProcessingCRAMPlan-basedControl CognitiveRobotAbstractMachine WillowGarage,May2010TeamIAS CRAM CRAMPerception CRAMKnowledgeProcessingCRAMPlan-basedControl CRAMPerceptionSystemCharacteristics I multimodal(tiltinglaser,tof,stereocamera) I taskable I basedonobjectdescriptions I reasonsaboutobjectidentities I beliefstatepassiveperception I storesatime-stampedmemoryofperceptions I symbolicscene \n \r WillowGarage,May2010TeamIAS CRAM CRAMPerception CRAMKnowledgeProcessingCRAMPlan-basedControl CRAMPerceptionSystemPCLContributions ! * WillowGarage,May2010TeamIAS CRAM CRAMPerception CRAMKnowledgeProcessingCRAMPlan-basedControl ScenePerception j KnowledgeBase j holds(on(o45,t2),t23)h312,248i),t23)object-data(o45, WillowGarage,May2010TeamIAS CRAM CRAMPerception CRAMKnowledgeProcessingCRAMPlan-basedControl PerceptionandKnowledgeProcessing I Providestherobotwithabstractsymbolicknowledgeabouttheperceivedscenes I Usesabstractsymbolicknowledgeforaccomplishingperceptiontasks I Answersqueriesthatrequireknowledgeprocessing and perception. WillowGarage,May2010TeamIAS CRAM CRAMPerception CRAMKnowledgeProcessingCRAMPlan-basedControl MissingObjectsQuery \n\r\n \n\r\n\n\r\n \n \r\n !\n \n \n\n"#\n $\n\r\n$\n \n\n" \n\n"\n"#\n !\n\r$\n \n\n"%\n\n"\n" \n\r#\r\n\n\r#%\n\n"\n"\r\n\n\r#$\n \n\n"!& '\n \n\n\n "\n$ (\n )\n !* \n" +\n"\n \n \r \n \n\n\r \n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n \n\n\n\n\n\n\n\n\n\n\n\n\n perceivedObjectsOnPlane(Plane,Perceived):-setOf(Obj-Hyp,(on(Obj,Plane),category(Obj,Cat),objectInstace(Obj,KnownObj),Obj-Hyp=[Id,Obj,Cat,KnownObj]),Perceived). WillowGarage,May2010TeamIAS CRAMCRAMPerception CRAMKnowledgeProcessing CRAMPlan-basedControl CRAMKnowledgeProcessing I terminologicalknowledge I pragmatic:PROLOG I OWL:semanticmap,SemanticRobotDescriptionLanguage I graphicalinterface I statisticalrelationallearningand WillowGarage,May2010TeamIAS CRAMCRAMPerception CRAMKnowledgeProcessing CRAMPlan-basedControl TheKNOWOB \n \r\n \n \r\n \r\n \n \n \n ! "# "# $\r\n\n %\r &\r ' $ \r \r \n\n ( \r \r I ArchitectureoftheKnowRobframework. I Visualizedresultsofqueriesforhumanposes.Objectsthatareconsideredtobemissingforacompletetablesetup. I Positionsformanipulationactions. I methodsforprocessingandimportingnatural-languagetaskinstructionsfromwebpages. WillowGarage,May2010TeamIAS CRAMCRAMPerception CRAMKnowledgeProcessing CRAMPlan-basedControl UsingtheSemanticObjectMap WillowGarage,May2010TeamIAS CRAMCRAMPerception CRAMKnowledgeProcessing CRAMPlan-basedControl Computablepredicates I Usetheenvironmentas'virtualknowledgebase' I Computepredicatesondemandbasedonthebeliefstate I Inherentlygrounded,automaticallyupdated I Query-specicabstraction \n \r \r \r \r ! \n\r \n \n\n " \r # $ % &