Research on Shooting Action of Soccer Robot Based on Genetic-Fuzzy Algorithm

In order to improve the success rate of a soccer robot shooting a goal a new method of shooting action control based on genetic-fuzzy algorithm is presented in this paper. An MIMO fuzzy logical controller is established and the soccer robot is controlled by a set of fuzzy rules to complete shooting...

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Bibliographic Details
Published in2010 International Conference on Electrical and Control Engineering pp. 1755 - 1759
Main Authors Wang Qiang, Zhang Jun-fu, Yang Yan-jun
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2010
Subjects
Encoding
fuzzy logical control
genetic algorithms
MIMO
Mobile robots
Real time systems
Robot kinematics
shooting action
soccer robot
Wheels
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ISBN1424468809
9781424468805
DOI10.1109/iCECE.2010.432

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Summary:In order to improve the success rate of a soccer robot shooting a goal a new method of shooting action control based on genetic-fuzzy algorithm is presented in this paper. An MIMO fuzzy logical controller is established and the soccer robot is controlled by a set of fuzzy rules to complete shooting action in a real-time environment. To establish an optimum fuzzy logical controller a genetic algorithm is used to optimize the fuzzy rules and membership functions so as to increase the ability of the fuzzy logical controller to respond rapidly to the changes in the dynamic environment. We also take the kinematics model of wheeled mobile robot into account and use the speed of wheels directly as the output of fuzzy rules. Experimental results in simulation and vision-based remote brainless soccer robot system prove the method is correct and feasible.
ISBN:1424468809
9781424468805
DOI:10.1109/iCECE.2010.432