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Journal article

Data driven automatic parameter inference for robotic assembly programs

Philipp Stephan, Jessica Fisch, Alperen Can and 3 others

Procedia CIRP1 Jan 2021Open access

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In a high-mix low volume production environment, time to market is a key factor. However, one bottleneck lies in the often times manual parametrization of machines for new or modified designs. A truly flexible manufacturing environment therefore requires a continuous data flow from the design stages to the shop floor. This paper presents a concept for the automated parameterization of machines at a large automotive plant. It describes the interface requirements of the stakeholders involved as well as the overall system architecture. Finally, the paper presents first results of a prototype tested in serial production, spanning more than 100 machines.

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Authors
Philipp Stephan, Jessica Fisch, Alperen Can, Oliver Heimann, Gregor Thiele, Jörg Krüger
Published
1 Jan 2021
Publisher
Elsevier BV
Issue
Volume 104 · Pages 1583–1588
ISSN
2212-8271
Language
EN

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