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Title: A self-organisation model for mobile robots in large structure assembly using multi-agent systems
Authors: Ljasenko, Spartak
Lohse, Niels
Justham, Laura
Pereira, Ivo
Jackson, Michael R.
Keywords: Multi-agent systems
Fixed-priority pre-emptive scheduling
Large structure assembly
Issue Date: 2017
Publisher: © Springer
Citation: LJASENKO, S. ... et al., 2017. A self-organisation model for mobile robots in large structure assembly using multi-agent systems. In: Borangiu T. et al. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing. Studies in Computational Intelligence, Springer, vol 694, pp.83-91.
Abstract: Mobile, self-organising robots are seen to be a possible solution to over-come the current limitations of fixed, dedicated automation systems particularly in the area of large structure assembly. Two of the key challenges for traditional ded-icated automation systems in large structure assembly are considered to be the trans-portation of products and the adaptation of manufacturing processes to changes in requirements. In order to make dynamic, self-organising systems a reality, several challenges in the process dynamics and logistical control need to be solved. In this paper, we propose a Multi-Agent System (MAS) approach to self-organise mobile robots in large structure assembly. The model is based on fixed-priority pre-emptive scheduling and uses a blackboard agent as a central information source and to facil-itate more common goal directed distributed negotiation and decision making be-tween agents representing the different needs of products and available mobile re-sources (robots).
Description: Closed access until 3rd March 2018. This is a pre‐copyedited version of a contribution published in Borangiu T., Trentesaux D., Thomas A., Leitão P., Oliveira J. (eds) Service Orientation in Holonic and Multi-Agent Manufacturing published by Springer. The definitive authenticated version is available online via http://dx.doi.org/10.1007/978-3-319-51100-9_8.
Sponsor: The authors acknowledge support from the EPSRC Centre for Innovative Manufacturing in Intelligent Automation, in undertaking this research work under grant reference number EP/IO33467/1.
Version: Accepted for publication
DOI: 10.1007/978-3-319-51100-9_8
URI: https://dspace.lboro.ac.uk/2134/23328
Publisher Link: http://dx.doi.org/10.1007/978-3-319-51100-9_8
ISBN: 9783319510996
ISSN: 1860-949X
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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