A multi-cellular based self-organizing approach for distributed multi-robot systems

Meng, Y, Guo, H and Jin, Y (2011) A multi-cellular based self-organizing approach for distributed multi-robot systems In: New Horizons in Evolutionary Robotics: Extended Contributions from the 2009 EvoDeRob Workshop. Studies in Computational Intelligence, 341 . Springer, pp. 123-137. ISBN 978-3642182716

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Abstract

Inspired by the major principles of gene regulation and cellular interactions in multi-cellular development, this paper proposes a distributed self-organizing multi-robot system for pattern formation. In our approach, multiple robots are able to self-organize themselves into various patterns driven by the dynamics of a gene regulatory network model. The pattern information is embedded into the gene regulation model, analog to the morphogen gradient in multi-cellular development. Various empirical analysis of the system robustness to the changes in tasks, noise in the robot system and changes in environment has been conducted. Simulation results demonstrate that the proposed method is both effective for pattern formation and robust to environmental changes. © 2011 Springer-Verlag Berlin Heidelberg.

Item Type:	Book Section
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Meng, Y Guo, H Jin, Y yaochu.jin@surrey.ac.uk
Date :	17 February 2011
DOI :	10.1007/978-3-642-18272-3_9
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 12:06
Last Modified :	23 Jan 2020 17:36
URI:	http://epubs.surrey.ac.uk/id/eprint/834033

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