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

Whitbrook, Amanda and 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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Official URL: http://www.springer.com/computer/ai/book/978-3-642-14155-3

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
Additional Information:The original publication is available at www.springerlink.com
Schools/Departments:Faculty of Science > School of Computer Science
ID Code:1323
Deposited By:Aickelin, Professor Uwe
Deposited On:11 Aug 2011 15:42
Last Modified:11 Aug 2011 15:42

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