Real-world 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 (2010) Real-world transfer of evolved artificial immune system behaviours between small and large scale robotic platforms. Evolutionary Intelligence, 3 (3-4). pp. 123-136. ISSN 1864-5909

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Abstract

In mobile robotics, a solid test for adaptation is

the ability of a control system to function not only in a

diverse number of physical environments, but also on a

number of different robotic platforms. 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 (Pioneer), both in simulation and in the real world. The chosen architecture uses artificial evolution of epuck behaviours to obtain a genetic sequence, which is then employed to seed an idiotypic, artificial immune system (AIS) on the Pioneers. Despite numerous hardware and software differences between the platforms, navigation and target-finding experiments show that the evolved behaviours transfer very well to the larger robot when the idiotypic AIS technique is used. In contrast, transferability is poor when reinforcement learning alone is used, which validates the adaptability of the chosen architecture.

Item Type: Article
RIS ID: https://nottingham-repository.worktribe.com/output/1013439
Additional Information: The original publication is available at www.springerlink.com
Schools/Departments: University of Nottingham, UK > Faculty of Science > School of Computer Science
Identification Number: 10.1007/s12065-010-0039-7
Depositing User: Aickelin, Professor Uwe
Date Deposited: 10 Oct 2012 15:19
Last Modified: 04 May 2020 20:26
URI: https://eprints.nottingham.ac.uk/id/eprint/1358

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