ROBOT SOCCER STRATEGY - BIOMIMETIC APPROACH

Biomimicry is the right pattern for a successful algorithm or control strategy. The present paper applies biomimetic approach to robotic soccer game, using as model the human soccer team's strategy. For implementation the authors use a team of MIROSOT soccer robot, with three robots. Using software Simi Scout a suitable tactics analysis can be extract from the games. Analyzing the real soccer game, a number of attributes are specified and are embedded at different levels. The specified levels are interconnected and the game analysis is processed for optimization. The authors approach offer a flexible and more complex situation: all the robots can be attacking, defending or goalkeeper player. In this case the role changing strategy is based on the distance between player and the ball, the payer and the goal area and the player and the attack area. The controller for the attacking robot is designed using Petri nets. The Petri net model is implemented in Petri Net Toolbox under MATLAB environment. Using this information the robot program is adapted and the tests/games are experimented. The results are commented and improved control architecture, based on practical results, is proposed.