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Fuzzy control in robot-soccer, evolutionary learning in the first layer of control
conference contributionposted on 06.12.2017, 00:00 by Peter ThomasPeter Thomas, Russel StonierRussel Stonier
In this paper an evolutionary algorithm is developed to learn a fuzzy knowledge base for the control of a soccer playing micro-robot from any configuration belonging to a grid of initial configurations to hit the ball along the ball to goal line of sight. The knowledge base uses relative co-ordinate system including left and right wheel velocities of the robot. Final path positions allow forward and reverse facing robot to ball and include its physical dimensions.