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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
Data driven automatic parameter inference for robotic assembly programs
Philipp Stephan, Jessica Fisch, Alperen Can and 3 others · Procedia CIRP · 1 Jan 2021
Abstract
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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.
Identifiers
- NobleID
- NI9P65W20R97S47
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Details
- 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