Enabling Fog-based Industrial Robotics Systems

Mohammed Salman Shaik (Vortragende:r), Vaclav Struhar, Zeinab Bakhshi, Van-Lan Dao, Nitin Desai, Alessandro V. Papadopoulos, Thomas Nolte, Vasileios Karagiannis, Stefan Schulte, Alexandre Venito, Gerhard Fohler

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung


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.
Titel2020 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
ErscheinungsortIEEE International Conference on Emerging Technologies and Factory Automation (ETFA)
Seiten61 - 68
ISBN (elektronisch)978-1-7281-8956-7
PublikationsstatusVeröffentlicht - Sept. 2020

Research Field

  • Enabling Digital Technologies


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