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Fogification of industrial robotic systems: Research challenges
Mälardalen University, School of Business, Society and Engineering, Future Energy Center. ABB AB, Västers, Sweden.ORCID iD: 0000-0003-2661-1961
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1364-8127
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1687-930X
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2019 (English)In: IoT-Fog 2019 - Proceedings of the 2019 Workshop on Fog Computing and the IoT, Association for Computing Machinery, Inc , 2019, p. 41-45Conference paper, Published paper (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Association for Computing Machinery, Inc , 2019. p. 41-45
Keywords [en]
Automation, Computer architecture, Fog, Industrial research, Internet of things, Robotics, Cloud based platforms, Computational resources, Control applications, Industrial robotic systems, Information modelling, Proposed architectures, Real time performance, Real-time communication, Fog computing
National Category
Computer and Information Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-43888DOI: 10.1145/3313150.3313225ISI: 000473542200009Scopus ID: 2-s2.0-85066045184ISBN: 9781450366984 (print)OAI: oai:DiVA.org:mdh-43888DiVA, id: diva2:1323059
Conference
2019 Workshop on Fog Computing and the IoT, IoT-Fog 2019, 15 April 2019
Available from: 2019-06-11 Created: 2019-06-11 Last updated: 2019-10-11Bibliographically approved

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Salman, Chaudhary AwaisStruhar, VaclavPapadopoulos, AlessandroBehnam, MorisNolte, Thomas

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Citation style
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