Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation
Puls, Stephan
Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation - KIT Scientific Publishing 2014 - 1 electronic resource (XII, 169 p. p.)
Open Access
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.
Creative Commons
German
KSP/1000044584 9783731502999
10.5445/KSP/1000044584 doi
image processing Maschinelles Lernen Bildverarbeitung semantic analysis Semantische Analyse Situationsverstehen machine learning situation awareness Robotik Robotics
Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation - KIT Scientific Publishing 2014 - 1 electronic resource (XII, 169 p. p.)
Open Access
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.
Creative Commons
German
KSP/1000044584 9783731502999
10.5445/KSP/1000044584 doi
image processing Maschinelles Lernen Bildverarbeitung semantic analysis Semantische Analyse Situationsverstehen machine learning situation awareness Robotik Robotics
