Shaik, Mohammed SalmanMohammed SalmanShaikStruhár, VáclavVáclavStruhárBakhshi, ZeinabZeinabBakhshiDao, Van LanVan LanDaoDesai, NitinNitinDesaiPapadopoulos, Alessandro VittorioAlessandro VittorioPapadopoulosNolte, ThomasThomasNolteKaragiannis, VasileiosVasileiosKaragiannisSchulte, StefanStefanSchulteVenito, AlexandreAlexandreVenitoFohler, GerhardGerhardFohler2022-03-082022-03-082020-0925th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2020)http://hdl.handle.net/11420/11906Low 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.enTechnikConference Paper10.1109/ETFA46521.2020.9211887Other