Data driven automatic parameter inference for robotic assembly programs

Autor: Jörg Krüger, Oliver Heimann, Philipp Stephan, Alperen Can, Gregor Thiele, Jessica Fisch
Přispěvatelé: Publica
Rok vydání: 2021
Předmět:
Zdroj: Procedia CIRP. 104:1583-1588
ISSN: 2212-8271
Popis: 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.
Databáze: OpenAIRE