Self-Organization and Collaboration in Robotic Manufacturing Systems

Andreas Frotzscher, Xiao Chen, Duy Lam Tran, Thore Goll, Hamid Sadeghian, Fan Wu, Martin Dehmel, Tommy Wohlfahrt, Matthias Riedl, Sami Haddadin

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

Abstract

The flexibility and adaptability of smart production systems are achieved through the use of autonomous and collaborating production assets. However, these systems still heavily rely on a central control unit to supervise and coordinate assets, as well as adapt to new demands. Additionally, these systems require reliable wireless connectivity to function effectively. This paper summarizes three contributions to autonomous manufacturing systems. Firstly, a system architecture that co-designs communication control for collaborating production assets is proposed, enabling dynamic trade-off negotiations between the control application and the communication network. Secondly, a novel approach for the self-organization of assets that can adapt in real-time is introduced. Finally, we present a collaborating strategy that facilitates close collaboration between robots while considering the performance of the wireless communication system in use.

OriginalspracheEnglisch
Titel2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023
Herausgeber (Verlag)IEEE Computer Society
ISBN (elektronisch)9798350320695
DOIs
PublikationsstatusVeröffentlicht - 2023
Veranstaltung19th IEEE International Conference on Automation Science and Engineering, CASE 2023 - Auckland, Neuseeland
Dauer: 26 Aug. 202330 Aug. 2023

Publikationsreihe

NameIEEE International Conference on Automation Science and Engineering
Band2023-August
ISSN (Print)2161-8070
ISSN (elektronisch)2161-8089

Konferenz

Konferenz19th IEEE International Conference on Automation Science and Engineering, CASE 2023
Land/GebietNeuseeland
OrtAuckland
Zeitraum26/08/2330/08/23

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