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
Format: eBook
Language:German
Published: KIT Scientific Publishing 2014
Subjects:
Online Access:Open Access: DOAB: description of the publication
Open Access: DOAB, download the publication
Description
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.
Physical Description:1 online resource (XII, 169 p. p.)
ISBN:9783731502999
KSP/1000044584
Access:Open Access