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Evolutionary Learning of Fuzzy Control in Robot-Soccer
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Author(s): P. J. Thomas (Central Queensland University, Australia)and R. J. Stonier (Central Queensland University, Australia)
Copyright: 2003
Pages: 16
Source title:
Computational Intelligence in Control
Source Author(s)/Editor(s): Masoud Mohammadian (University of Canberra, Australia), Rahul A. Sarker (University of New South Wales, Australia)and Xin Yao (The University of Birmingham, UK)
DOI: 10.4018/978-1-59140-037-0.ch005
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Abstract
In this chapter an evolutionary algorithm is developed to learn a fuzzy knowledge base for the control of a soccer micro-robot from any configuration belonging to a grid of initial configurations, to hit the ball along the ball to goal line of sight. A relative coordinate system is used. Forward and reverse mode of the robot and its physical dimensions are incorporated, as well as special considerations to cases when in its initial configuration, the robot is touching the ball.
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