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dc.contributor.authorMandery, Christian*
dc.date.accessioned2021-02-11T21:51:15Z
dc.date.available2021-02-11T21:51:15Z
dc.date.issued2017*
dc.date.submitted2019-07-30 20:02:02*
dc.identifier35723*
dc.identifier.issn25120875*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/55395
dc.description.abstractThis work presents an approach to data-driven motion generation for humanoid robots, which is based on the observation and analysis of human whole-body motions. To this end, we investigate how captured human motions can be represented, classified and organized in a large-scale motion database. The statistical modeling of the transitions between characteristic whole-body poses enables the subsequent generation of multi-contact motions.*
dc.languageGerman*
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.otherGanzkörperbewegung*
dc.subject.otherrobotics*
dc.subject.othermotion generation*
dc.subject.otherBewegungsgenerierung*
dc.subject.othermenschliche Bewegungsanalyse*
dc.subject.otherhumanoid robotics*
dc.subject.otherhuman motion analysis*
dc.subject.otherRobotik*
dc.subject.otherhumanoide Robotik*
dc.subject.otherwhole-body motion*
dc.titleOrganisation, Repräsentation und Analyse menschlicher Ganzkörperbewegung für die datengetriebene Bewegungsgenerierung bei humanoiden Robotern*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000075715*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731507291*
oapen.pagesVIII, 308 p.*
oapen.volume2*
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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