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.
This research was partially supported by FONDECYT (Chile) under Project Number 1061158.
Chapter PDF
Similar content being viewed by others
References
Dodds, R., Vallejos, P., Ruiz-del-Solar, J.: Probabilistic kick selection in robot soccer. In: 3rd IEEE Latin American Robotics Symposium – LARS 2006 (CD Proceedings), Santiago, Chile, October 26 - 27 (2006)
Lakemeyer, G., Sklar, E., Sorrenti, D., Takahashi, T.: RoboCup 2006: Robot Soccer World Cup X. LNCS (LNAI). Springer, Heidelberg (to appear, 2007)
RoboCup Technical Committee. RoboCup Four-Legged League Rule Book (2006), http://www.tzi.de/4legged/bin/view/Website/WebHome
Stone, P., McAllester, D.: An Architecture for Action Selection in Robotic Soccer. In: Proceedings of the Fifth International Conference on Autonomous Agents, pp. 316–323 (2001)
Röfer, T., et al.: German Team 2006 Team Description Paper. In: Lakemeyer, G., Sklar, E., Sorrenti, D.G., Takahashi, T. (eds.) RoboCup 2006: Robot Soccer World Cup X. LNCS (LNAI), vol. 4434, Springer, Heidelberg (2007)
Zagal, J., Ruiz-del-Solar, J.: UCHILSIM: A Dynamically and Visually Realistic Simulator for the RoboCup Four Legged League. In: Nardi, D., Riedmiller, M., Sammut, C., Santos-Victor, J. (eds.) RoboCup 2004. LNCS (LNAI), vol. 3276, pp. 34–45. Springer, Heidelberg (2005)
Reis, L., Lau, N.: FC Portugal Team Description: RoboCup 2000 Simulation League Champion. In: Stone, P., Balch, T., Kraetzschmar, G.K. (eds.) RoboCup 2000. LNCS (LNAI), vol. 2019, pp. 29–40. Springer, Heidelberg (2001)
Kyrylov, V.: Balancing Gains, Risks, Costs, and Real-Time Constraints in the Ball Passing Algorithm for the Robotic Soccer. In: Lakemeyer, G., Sklar, E., Sorrenti, D.G., Takahashi, T. (eds.) RoboCup 2006: Robot Soccer World Cup X. LNCS (LNAI), vol. 4434, Springer, Heidelberg (2007)
Vallejos, P., Ruiz-del-Solar, J., Duvost, A.: Cooperative Strategy using Dynamic Role Assignment and Potential Fields Path Planning. In: 1st IEEE Latin American Robotics Symposium – LARS 2004, México City, México, October 28 – 29, pp. 48–53 (2004)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Guerrero, P., Ruiz-del-Solar, J., Díaz, G. (2008). Probabilistic Decision Making in Robot Soccer. In: Visser, U., Ribeiro, F., Ohashi, T., Dellaert, F. (eds) RoboCup 2007: Robot Soccer World Cup XI. RoboCup 2007. Lecture Notes in Computer Science(), vol 5001. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-68847-1_3
Download citation
DOI: https://doi.org/10.1007/978-3-540-68847-1_3
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-68846-4
Online ISBN: 978-3-540-68847-1
eBook Packages: Computer ScienceComputer Science (R0)