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Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation

dc.contributor.authorPuls, Stephan*
dc.date.accessioned2021-02-12T03:40:38Z
dc.date.available2021-02-12T03:40:38Z
dc.date.issued2014*
dc.date.submitted2019-07-30 20:02:00*
dc.identifier35071*
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/59442
dc.description.abstractIn the proposed system the environment of an industrial robot is captured through algorithms of machine learning. Thus, objects and human actions are determined. Based on semantic analysis situational knowledge is inferred and dynamic risk assessment as well as robotic behaviour are concluded. Consequently, this provides the foundation for a reactive robot system for achieving efficient and safe human-robot-cooperation.*
dc.languageGerman*
dc.subjectQA75.5-76.95*
dc.subject.classificationbic Book Industry Communication::U Computing & information technology::UY Computer scienceen_US
dc.subject.otherimage processing*
dc.subject.otherMaschinelles Lernen*
dc.subject.otherBildverarbeitung*
dc.subject.othersemantic analysis*
dc.subject.otherSemantische Analyse*
dc.subject.otherSituationsverstehen*
dc.subject.othermachine learning*
dc.subject.othersituation awareness*
dc.subject.otherRobotik*
dc.subject.otherRobotics*
dc.titleSituationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation*
dc.typebook
oapen.identifier.doi10.5445/KSP/1000044584*
oapen.relation.isPublishedBy68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2*
oapen.relation.isbn9783731502999*
oapen.pagesXII, 169 p.*
peerreview.review.typeFull text
peerreview.anonymityAll identities known
peerreview.reviewer.typeInternal editor
peerreview.reviewer.typeExternal peer reviewer
peerreview.review.stagePre-publication
peerreview.open.reviewNo
peerreview.publish.responsibilityScientific or Editorial Board
peerreview.id8ad5c235-9810-49eb-b358-27c8675324d9
peerreview.titleDissertations (Dissertationen)


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