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Robotic Assembly Planning and Control with Enhanced Adaptability through Function Blocks
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Production Engineering, Royal Institute of Technology, Stockholm, Sweden. (Produktion och automatiseringsteknik, Production and Automation Engineering)
University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0002-8906-630X
Department of Production Engineering, Royal Institute of Technology, Stockholm, Sweden.
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
2015 (English)In: The International Journal of Advanced Manufacturing Technology, ISSN 0268-3768, E-ISSN 1433-3015, Vol. 77, no 1-4, 705-715 p.Article in journal (Refereed) Published
Abstract [en]

Manufacturing companies today need to maintain a high level of flexibility and adaptability to deal with uncertainties on dynamic shop floors, including e.g. cutting tool shortage, part supply interruption, urgent job insertion or delay, and machine unavailability. Such uncertainties are characteristic in component assembly operations. Addressing the problem, we propose a new method using function blocks to achieve much improved adaptability in assembly planning and robot control. In this paper, we propose to use event-driven function blocks for robotic assembly, aiming to plan trajectory and execute assembly tasks in real-time. It is envisioned that this approach will achieve better adaptability if applied to real-world applications.

Place, publisher, year, edition, pages
Springer London, 2015. Vol. 77, no 1-4, 705-715 p.
Keyword [en]
Adaptability, Robotic assembly, Trajectory planning, Function block
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-10466DOI: 10.1007/s00170-014-6468-1ISI: 000350117300055ScopusID: 2-s2.0-84925461308OAI: oai:DiVA.org:his-10466DiVA: diva2:773797
Note

Published online: 22 October 2014

Available from: 2014-12-19 Created: 2014-12-19 Last updated: 2015-08-25Bibliographically approved

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Wang, LihuiSchmidt, BernardGivehchi, MohammadAdamson, Göran
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