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M. Shaik, V. Struhar, Z. Bakhshi, V. Dao, N. Desai, A. Papadopoulos, T. Nolte, V. Karagiannis, S. Schulte, A. Venito, G. Fohler:
"Enabling Fog-based Industrial Robotics Systems";
Talk: 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2020) - Hybrid Conference, Vienna, Austria; 2020-09-08 - 2020-09-11; in: "Proceedings of the 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2020)", IEEE, (2020), ISBN: 978-1-7281-8957-4; 61 - 68.

Low latency and on demand resource availability enable fog computing to host industrial applications in a cloud like manner. One industrial domain which stands to benefit from the advantages of fog computing is robotics. However, the challenges in developing and implementing a fog-based robotic system are manifold. To illustrate this, in this paper we discuss a system involving robots and robot cells at a factory level, and then highlight the main building blocks necessary for achieving such functionality in a fog-based system. Further, we elaborate on the challenges in implementing such an architecture, with emphasis on resource virtualization, memory interference management, real-time communication and the system scalability, dependability and safety. We then discuss the challenges from a system perspective where all these aspects are interrelated.

http://dx.doi.org/10.1109/ETFA46521.2020.9211887

Project Head Wolfgang Kastner:
FORA