Simulation Strategic Positioning for Mobile Robot Roccer Wheels

  • Mochamad Mobed Bachtiar
  • Iwan Kurnianto Wibowo Politeknik Elektronika Negeri Surabaya
  • Rakhmat Faizal Ajie Politeknik Elektronika Negeri Surabaya
Keywords: strategic position; attack strategy; empty space; naïve bayes classifier

Abstract

Soccer robot is a combination of sports, robotics technology and multi agent system. The achieve goals in playing the ball, requires individual intelligence, and the ability of cooperation for individual skills. The success of a soccer robot team is influenced by the success of the robot player to enter the ball into the opponent's goal. In entering the ball into the opponent's goal needed an appropriate position and strategic. This research makes the design in finding a strategic position at the time of attack. The design divides the field into several small areas or the main grid, where each region gives different action. The position is said to be strategic if the robot passing success and has a fairly wide perspective against the goal. The strategic position is gained from the greatest opportunity of some of the decisive conditions. The calculation used is to use the Probability Naïve Bayes Classifier by taking the maximum value that serve as a strategic position. So this research resulted in a design in finding strategic position.

Downloads

Download data is not yet available.

References

Agfuero, C.E., Matell_an, V., Cannas, J.M., G_omez, V.M., Carlos, J.: Switch! Dynamicroles exchange among cooperative robots. In: in Proceedings of the 2nd International Workshop on Multi-Agent Robotic Systems, Maret, 2006J. Clerk Maxwell, A Treatise on Electricity and Magnetism, 3rd ed., vol. 2. Oxford: Clarendon, 1892, pp.68-73.

J. Bruce, S. Zickler, M. Licitra, and M. Veloso. “Dynamic passing and strategy on a champion robot soccer team”. In ICRA 2008, pages 4074-4079.

Biswas, J.; Mendoza, J. P.; Zhu, D.; Choi, B.; Klee, S.; and Veloso, M. 2014. Opponent-driven planning and execution for pass, attack, and defense in a multi-robot soccer team. In Proceedings of the International Conference on Autonomous

Bruce, J.; Zickler, S.; Licitra, M.; and Veloso, M. 2008. CMDragons: Dynamic passing and strategy on a champion robot soccer team. In Proceedings of the International Conference

Kyrylov, V.:. Balancing gains, risks, costs, and real-time constraints in the ball passing algorithm for the robotic soccer. Simon Fraser University, Canada, 2006

Published
2018-07-27
How to Cite
[1]
M. Bachtiar, I. Wibowo, and R. Ajie, “Simulation Strategic Positioning for Mobile Robot Roccer Wheels”, JAIC, vol. 2, no. 1, pp. 7-10, Jul. 2018.
Section
Articles