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Adaptive Robotic Control in Cloud Environments
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Adaptive Manufacturing)ORCID iD: 0000-0003-1265-8451
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Kungliga Tekniska Högskolan, Stockholm (KTH). (Adaptive Manufacturing)
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Adaptive Manufacturing)
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Academy for Innovation & Research, Falmouth University, UK. (Adaptive Manufacturing)
2014 (English)In: Proceedings of the 24th International Conference on Flexible Automation and Intelligent Manufacturing / [ed] F. Frank Chen, The University of Texas at San Antonio, U.S.A., Lancaster, Pennsylvania, USA: DEStech Publications, Inc , 2014, 37-44 p.Conference paper (Refereed)
Abstract [en]

The increasing globalization is a trend which forces manufacturing industry of today to focus on more cost-effective manufacturing systems and collaboration within global supply chains and manufacturing networks. Cloud Manufacturing (CM) is evolving as a new manufacturing paradigm to match this trend, enabling the mutually advantageous sharing of resources, knowledge and information between distributed companies and manufacturing units. Providing a framework for collaboration within complex and critical tasks, such as manufacturing and design, it increases the companies’ ability to successfully compete on a global marketplace. One of the major, crucial objectives for CM is the coordinated planning, control and execution of discrete manufacturing operations in a collaborative and networked environment. This paper describes the overall concept of adaptive Function Block control of manufacturing equipment in Cloud environments, with the specific focus on robotic assembly operations, and presents Cloud Robotics as “Robot Control-as-a-Service” within CM.

Place, publisher, year, edition, pages
Lancaster, Pennsylvania, USA: DEStech Publications, Inc , 2014. 37-44 p.
Keyword [en]
Function Block, Adaptive robot control, IEC 61499
National Category
Robotics
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-9377ISBN: 978-1-60595-173-7 OAI: oai:DiVA.org:his-9377DiVA: diva2:722652
Conference
24th International Conference on Flexible Automation and Intelligent Manufacturing, FAIM 2014, San Antonio, Texas, USA, May 20-23
Funder
Knowledge Foundation, 20130303
Available from: 2014-06-09 Created: 2014-06-09 Last updated: 2014-10-01Bibliographically approved

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