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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
© IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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
S.348-354
Conference on Automation Science and Engineering (CASE) <12, 2016, Fort Worth/Tex.>
European Commission EC
FP7-ICT; 287787; SMEROBOTICS
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
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IPA ()
Roboterprogrammierung; Manufacturing App; Industrieroboter; Schweißroboter; Small and Medium Sized Enterprises (SME); Kleine und mittlere Unternehmen KMU

Abstract
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.

: http://publica.fraunhofer.de/dokumente/N-415043.html