Proceeding of the International Conference on Advanced Science, Engineering and Information Technology 2011

Abstract

Robot Soccer is a rich domain for the study in artificial intelligence. Teams of players must work together in order to put the ball in the opposing goal. Learning is essential in this task since the dynamics of the system can change as the opponents' behaviours change. The players must be able to adapt to new situations. In this paper, we create a passing, avoiding obstacle and shooting strategy for robot soccer coordination. Based on a scenario in robot soccer, we stimulate a mini case study which involves two robots and ball.This research proposes coordination algorithm for robots collaboration in soccer game. The method is based on role, act, and behaviour of the robots. The actions of each robot depend on the created situation. The simulation result shows its probability to be applied in the real robot soccer game.