Real-time Fog-based Industrial Robotic System: Applications and Challenges

Fulltext:


Authors:

Shaik Salman, Václav Struhár, Zeinab Bakhshi , Van Lan Dao, Nitin Desai, Alessandro Papadopoulos, Thomas Nolte, Vasileios Karagiannis , Stefan Schulte , Alexandre Venito , Gerhard Fohler

Research groups:

Data Communication
Real-Time Systems Design
Dependable Software Engineering
Complex Real-Time Embedded Systems

Publication Type:

Conference/Workshop Paper

Venue:

The 25th IEEE International Conference on Emerging Technologies and Factory Automation

DOI:

10.1109/ETFA46521.2020.9211887

Abstract

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.

Bibtex

@inproceedings{Salman6110,
author = {Shaik Salman and V{\'a}clav Struh{\'a}r and Zeinab Bakhshi and Van Lan Dao and Nitin Desai and Alessandro Papadopoulos and Thomas Nolte and Vasileios Karagiannis and Stefan Schulte and Alexandre Venito and Gerhard Fohler},
title = {Real-time Fog-based Industrial Robotic System: Applications and Challenges},
pages = {61--68},
month = {September},
year = {2020},
booktitle = {The 25th IEEE International Conference on Emerging Technologies and Factory Automation},
url = {http://www.es.mdu.se/publications/6110-}
}