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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Format: | Electronic Book Chapter |
Published: |
KIT Scientific Publishing
2014
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Subjects: | |
Online Access: | DOAB: download the publication DOAB: description of the publication |
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Summary: | 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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Physical Description: | 1 electronic resource (XII, 169 p. p.) |
ISBN: | KSP/1000044584 9783731502999 |
Access: | Open Access |