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|Title: ||A self-organisation model for mobile robots in large structure assembly using multi-agent systems|
|Authors: ||Ljasenko, Spartak|
Justham, Laura M.
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: ||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|
|Publisher Link: ||http://dx.doi.org/10.1007/978-3-319-51100-9_8|
|Appears in Collections:||Published Articles (Mechanical, Electrical and Manufacturing Engineering)|
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