Probabilistic Decision Making in Robot Soccer

Authors:
Pablo Guerrero;Javier Ruiz-Del-Solar;Gonzalo Díaz
Affiliations:
Department of Electrical Engineering, Universidad de Chile,;Department of Electrical Engineering, Universidad de Chile,;Department of Electrical Engineering, Universidad de Chile,
Venue:
RoboCup 2007: Robot Soccer World Cup XI
Year:
2008

Citing 5
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Abstract

Decision making is an important issue in robot soccer, which has not been investigated deeply enough by the RoboCup research community. This paper proposes a probabilistic approach to decision making. The proposed methodology is based on the maximization of a game situation score function, which generalizes the concept of accomplishing different game objectives as: passing, scoring a goal, clearing the ball, etc. The methodology includes a quantitative method for evaluating the game situation score. Experimental results in a high-level strategy simulator, which runs our four-legged code in simulated AIBOs' robots, show a noticeable improvement in the scoring effectiveness achieved by a team that uses the proposed approach for making decisions.