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Adaptive Robot Control as a Service in Cloud Manufacturing
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-1265-8451
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Royal Institute of Technology, Stockholm, Sweden. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0001-8679-8049
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och Automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-1699-3778
Falmouth University, Cornwall, UK.
2015 (English)In: ASME 2015 International Manufacturing Science and Engineering Conference: Volume 2: Materials; Biomanufacturing; Properties, Applications and Systems; Sustainable Manufacturing, ASME Press, 2015, Vol. 2, Paper No. MSEC2015-9479- p.Conference paper (Refereed)
Abstract [en]

The interest for implementing the concept of Manufacturing-as-a-Service is increasing as concepts for letting the manufacturing shop-floor domain take advantage of the cloud appears. Combining technologies such as Internet of Things, Cloud Computing, Semantic Web, virtualisation and service-oriented technologies with advanced manufacturing models, information and communication technologies, Cloud Manufacturing (CM) is emerging as a new manufacturing paradigm. The ideas of on-demand, scalable and pay-for-usage resource-sharing in this concept will move manufacturing towards distributed and collaborative missions in volatile partnerships. This will require a control approach for distributed planning and execution of cooperating manufacturing activities. Without control based on both global and local environmental conditions, the advantages of CM will not be fulfilled.

By utilising smart and distributable decision modules such as event-driven FBs, run-time manufacturing operations in a distributed environment may be adjusted to prevailing manufacturing conditions. Packaged in a cloud service for manufacturing equipment control, it will satisfy the control needs in CM. By combining different resource types, such as hard, soft and capability resources, the cloud service Robot Control-as-a-Service can be realised.

This paper describes the functional perspective and enabling technologies for a control approach for robotic assembly tasks in CM, and describes a scenario for its implementation.

Place, publisher, year, edition, pages
ASME Press, 2015. Vol. 2, Paper No. MSEC2015-9479- p.
Keyword [en]
cloud manufacturing, cloud service, adaptive manufacturing, robot control
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-11375DOI: 10.1115/MSEC2015-9479ISI: 000365147200041ScopusID: 2-s2.0-84945151417ISBN: 978-0-7918-5683-3OAI: oai:DiVA.org:his-11375DiVA: diva2:847060
Conference
ASME 2015 International Manufacturing Science and Engineering Conference, MSEC2015 June 8-12, 2015, Charlotte, North Carolina, USA
Funder
Knowledge Foundation
Available from: 2015-08-19 Created: 2015-08-19 Last updated: 2016-01-28Bibliographically approved

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Adamson, GöranWang, LihuiHolm, Magnus
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