The transfer of evolved artificial immune system behaviours between small and large scale robotic platforms

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Whitbrook, Amanda, Aickelin, Uwe and Garibaldi, Jonathan M. (2010) The transfer of evolved artificial immune system behaviours between small and large scale robotic platforms. In: Artificial evolution: 9th International Conference = Evolution Artificielle, EA 2009: Strasbourg, France, October 26-28, 2009: revised selected papers. Lecture notes in computer science (5975). Springer, Berlin, pp. 122-133. ISBN 9783642141553

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Abstract

This paper demonstrates that a set of behaviours evolved in

simulation on a miniature robot (epuck) can be transferred to a much larger scale platform (a virtual Pioneer P3-DX) that also differs in shape, sensor type, sensor configuration and programming interface. The chosen

architecture uses a reinforcement learning-assisted genetic algorithm to evolve the epuck behaviours, which are encoded as a genetic sequence.This sequence is then used by the Pioneers as part of an adaptive, idiotypic artificial immune system (AIS) control architecture. Testing in

three different simulated worlds shows that the Pioneer can use these behaviours to navigate and solve object-tracking tasks successfully, as long as its adaptive AIS mechanism is in place.

Item Type: Book Section
RIS ID: https://nottingham-repository.worktribe.com/output/1013451
Additional Information: The original publication is available at www.springerlink.com
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Depositing User: Aickelin, Professor Uwe
Date Deposited: 11 Aug 2011 14:42
Last Modified: 04 May 2020 20:26
URI: https://eprints.nottingham.ac.uk/id/eprint/1323

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