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Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/23328

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. Studies in Computational Intelligence, in press
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 pending publication. This paper was presented at: SOHOMA 2016: 6th Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing, Lisbon, Portugal, 6-7 October, http://www.sohoma16.cimr.pub.ro/
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
URI: https://dspace.lboro.ac.uk/2134/23328
Publisher Link: http://www.springer.com/series/7092
ISSN: 1860-949X
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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