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dc.contributor.authorWächter, Mirko*
dc.date.accessioned2021-02-11T17:30:26Z
dc.date.available2021-02-11T17:30:26Z
dc.date.issued2018*
dc.date.submitted2019-07-28 18:37:01*
dc.identifier34213*
dc.identifier.issn25120875*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/51481
dc.description.abstractEquipping robots with complex capabilities still requires a great amount of effort. In this work, a novel approach is proposed to understand, to represent and to execute object manipulation tasks learned from observation by combining methods of data analysis, graphical modeling and artificial intelligence. Employing this approach enables robots to reason about how to solve tasks in dynamic environments and to adapt to unseen situations.*
dc.languageEnglish*
dc.relation.ispartofseriesKarlsruhe Series on Humanoid Robotics*
dc.subjectQA75.5-76.95*
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.otherAutonomous systems*
dc.subject.otherGraphical programming*
dc.subject.otherHumanoide Robotik*
dc.subject.otherProgramming by demonstration*
dc.subject.otherAutonome Systeme*
dc.subject.otherRobotik*
dc.subject.otherProgrammieren durch Vormachen*
dc.subject.otherRobotics*
dc.subject.otherHumanoid robotics*
dc.subject.otherGraphische Programmierung*
dc.titleLearning and Execution of Object Manipulation Tasks on Humanoid Robots*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000078313*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731507499*
oapen.pagesX, 236 p.*
oapen.volume3*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeEditorial board member
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityBooks or series editor
peerreview.id51a542ec-eaeb-47c2-861d-6022e981a97a
peerreview.titleDissertations in Series (Dissertationen in Schriftenreihe)


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