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Reliable Planning of Human-Robot-Collaboration featuring Speed and Separation Monitoring

 
: Petersen, Hauke; Behrens, Roland; Saenz, José; Schulenburg, Erik; Vogel, Christian; Elkmann, Norbert

:
Volltext urn:nbn:de:0011-n-5556844 (1.0 MByte PDF)
MD5 Fingerprint: 23898822d5ccb5251f530692d83ead7e
Erstellt am: 6.9.2019


Institut national de recherche et de sécurité -INRS-, Paris:
9th International Conference on Safety of Industrial Automated Systems, SIAS 2018. Proceedings : 10-12 October 2018, Nancy, France
Paris: INRS, 2018
S.55-61
International Conference on Safety of Industrial Automated Systems (SIAS) <9, 2018, Nancy>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IFF ()

Abstract
While Human-Robot Collaboration (HRC) with high-payload robots is attracting the attention of industrial manufacturers, the engineering efforts and associated costs currently needed to comply with the safety requirements from standards are prohibitively high and represent a barrier to more widespread use. This paper presents a novel planning approach to reduce the aforementioned design and planning efforts. Our focus is on industrial applications featuring HRC that use Speed and Separation Monitoring (SSM) according to ISO/TS 15066 to safeguard the robot. This paper presents our novel approach that uses a cloud-based platform and provides planning services as an extension to commercially available planning tools to calculate the minimum protective safety distance between robot and humans. The benefits of our approach are a faster design process and less uncertainty about the required floor space and the achievable cycle time.

: http://publica.fraunhofer.de/dokumente/N-555684.html