TY - GEN
T1 - Self-Organization and Collaboration in Robotic Manufacturing Systems
AU - Frotzscher, Andreas
AU - Chen, Xiao
AU - Tran, Duy Lam
AU - Goll, Thore
AU - Sadeghian, Hamid
AU - Wu, Fan
AU - Dehmel, Martin
AU - Wohlfahrt, Tommy
AU - Riedl, Matthias
AU - Haddadin, Sami
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85174407883&partnerID=8YFLogxK
U2 - 10.1109/CASE56687.2023.10260499
DO - 10.1109/CASE56687.2023.10260499
M3 - Conference contribution
AN - SCOPUS:85174407883
T3 - IEEE International Conference on Automation Science and Engineering
BT - 2023 IEEE 19th International Conference on Automation Science and Engineering, CASE 2023
PB - IEEE Computer Society
T2 - 19th IEEE International Conference on Automation Science and Engineering, CASE 2023
Y2 - 26 August 2023 through 30 August 2023
ER -