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On-Board Evolutionary Algorithm and Off-Line Rule Discovery for Column Formation in Swarm Robotics

Published: 22 August 2011 Publication History

Abstract

This paper aims at building autonomous controllers for swarm robots, specifically aimed at enforcing a given shape formation, here a column formation. The proposed approach features two main characteristics. Firstly, a state-of-the-art evolutionary setting is used to achieve the on-board optimization of the controller, avoiding any simulator-based approach. Secondly, as the cost of physical experiments might be prohibitively high for plain evolutionary approaches, a data mining approach is achieved on the top of evolution, rule discovery is used to discover the most promising regions in the controller search space. The merits of the approach are experimentally validated using a 5 robot formation, showing that the hybrid evolutionary learning process outperforms evolution alone in terms of swarm speed and shape quality.

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  • (2012)Predicting the State of a Person by an Office-Use Autonomous Mobile RobotProceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 0210.1109/WI-IAT.2012.183(80-84)Online publication date: 4-Dec-2012

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cover image ACM Conferences
WI-IAT '11: Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
August 2011
457 pages
ISBN:9780769545134

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IEEE Computer Society

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Published: 22 August 2011

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  • (2012)Predicting the State of a Person by an Office-Use Autonomous Mobile RobotProceedings of the The 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence and Intelligent Agent Technology - Volume 0210.1109/WI-IAT.2012.183(80-84)Online publication date: 4-Dec-2012

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