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Fogification of Industrial Robotic Systems: Research Challenges


Publication Type:

Conference/Workshop Paper


Workshop on Fog Computing and the Internet of Things 2019


To meet the demands of future automation systems, the architecture of traditional control systems such as the industrial robotic systems needs to evolve and new architectural paradigms need to be investigated. While cloud-based platforms provide services such as computational resources on demand, they do not address the requirements of real-time performance expected by control applications. Fog computing is a promising new architectural paradigm that complements the cloud-based platform by addressing its limitations. In this paper, we analyse the existing robot system architecture and propose a fog-based solution for industrial robotic systems that addresses the needs of future automation systems. We also propose the use of Time-Sensitive Networking (TSN) services for real-time communication and OPC-UA for information modelling within this architecture. Additionally, we discuss the main research challenges associated with the proposed architecture.


author = {Shaik Salman and V{\'a}clav Struh{\'a}r and Alessandro Papadopoulos and Moris Behnam and Thomas Nolte},
title = {Fogification of Industrial Robotic Systems: Research Challenges},
month = {April},
year = {2019},
booktitle = {Workshop on Fog Computing and the Internet of Things 2019},
url = {}