LEADER 01691nam  2200409z- 450 
001 9910347047103321
005 20231214141115.0
010   $a1000044584
035   $a(CKB)4920000000102045
035   $a(oapen)https://directory.doabooks.org/handle/20.500.12854/59442
035   $a(EXLCZ)994920000000102045
100   $a20202102d2014      |y             0
101 0 $ager
135   $aurmn|---annan
181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aSituationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation
210   $cKIT Scientific Publishing$d2014
215   $a1 electronic resource (XII, 169 p. p.)
311   $a3-7315-0299-2 
330   $aIn 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.
610   $aimage processing
610   $aMaschinelles Lernen
610   $aBildverarbeitung
610   $asemantic analysis
610   $aSemantische Analyse
610   $aSituationsverstehen
610   $amachine learning
610   $asituation awareness
610   $aRobotik
610   $aRobotics
700   $aPuls$b Stephan$4auth$01297012
906   $aBOOK
912   $a9910347047103321
996   $aSituationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation$93024402
997   $aUNINA