01709nam 2200421z- 450 9910347047103321202102121000044584(CKB)4920000000102045(oapen)https://directory.doabooks.org/handle/20.500.12854/59442(oapen)doab59442(EXLCZ)99492000000010204520202102d2014 |y 0gerurmn|---annantxtrdacontentcrdamediacrrdacarrierSituationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-KooperationKIT Scientific Publishing20141 online resource (XII, 169 p. p.)3-7315-0299-2 In 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.Bildverarbeitungimage processingmachine learningMaschinelles LernenRoboticsRobotiksemantic analysisSemantische Analysesituation awarenessSituationsverstehenPuls Stephanauth1297012BOOK9910347047103321Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation3024402UNINA