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Manufacturing knowledge for industrial robot systems: Review and synthesis of model architecture

: Kuss, Alexander; Diaz Posada, Julian Ricardo; Hollmann, Rebecca; Dietz, Thomas; Hägele, Martin

Postprint urn:nbn:de:0011-n-4150439 (219 KByte PDF)
MD5 Fingerprint: 5b91f7e59e7b678b2e232c90d1293fcd
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Erstellt am: 30.9.2016

Institute of Electrical and Electronics Engineers -IEEE-; IEEE Robotics and Automation Society:
IEEE International Conference on Automation Science and Engineering, CASE 2016 : 21-25 August 2016, Fort Worth, Texas, USA
Piscataway, NJ: IEEE, 2016
ISBN: 978-1-5090-2410-0 (Print)
ISBN: 978-1-5090-2409-4
ISBN: 978-1-5090-2408-7
Conference on Automation Science and Engineering (CASE) <12, 2016, Fort Worth/Tex.>
European Commission EC
The European Robotics Initiative for Strengthening the Competitiveness of SMEs in Manufacturing by integrating aspects of cognitive systems
European Commission EC
H2020-EU.2.1.1.; 688217; ROBOTT-NET
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPA ()
Roboterprogrammierung; Manufacturing App; Industrieroboter; Schweißroboter; Small and Medium Sized Enterprises (SME); Kleine und mittlere Unternehmen KMU

This paper reviews the state of the art of models in robotic manufacturing applications. Moreover, a model architecture is proposed that is adequate for capturing knowledge of manufacturing processes in small and medium sized enterprises. The proposed architecture improves existing approaches by introducing a technology model that allows modeling of specific knowledge of manufacturing processes. This enables automatic generation of robot programs and supports reusability of manufacturing knowledge in industrial production scenarios. The usage of the presented model architecture is shown for a robotic welding application.