Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation

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. Conse...

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Bibliographic Details
Main Author: Puls, Stephan (auth)
Format: Electronic Book Chapter
Published: KIT Scientific Publishing 2014
Subjects:
Online Access:DOAB: download the publication
DOAB: description of the publication
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245 1 0 |a Situationsverstehen für die Risikobeurteilung bei der Mensch-Roboter-Kooperation 
260 |b KIT Scientific Publishing  |c 2014 
300 |a 1 electronic resource (XII, 169 p. p.) 
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520 |a 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. 
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546 |a German 
653 |a image processing 
653 |a Maschinelles Lernen 
653 |a Bildverarbeitung 
653 |a semantic analysis 
653 |a Semantische Analyse 
653 |a Situationsverstehen 
653 |a machine learning 
653 |a situation awareness 
653 |a Robotik 
653 |a Robotics 
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856 4 0 |a www.oapen.org  |u https://directory.doabooks.org/handle/20.500.12854/59442  |7 0  |z DOAB: description of the publication