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Balancing Gains, Risks, Costs, and Real-Time Constraints in the Ball Passing Algorithm for the Robotic Soccer

  • Vadim Kyrylov
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4434)

Abstract

We are looking for a generic solution for the optimized ball passing problem in the robotic soccer which is applicable to many digital simulated sports games with ball. In doing so, we show that previously published ball passing methods do not properly address the necessary balance between the anticipated rewards, costs, and risks. The multi-criteria nature of this optimization problem requires using the Pareto optimality approach. We propose a scalable and robust solution for decision making, as its quality degrades in a graceful way once the real time constrains are kicking in.

Keywords

Pareto Optimality Destination Point Ball Speed Ball Passing Robotic Soccer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Vadim Kyrylov
    • 1
  1. 1.Simon Fraser University – Surrey, Surrey, British Columbia V3T 2W1Canada

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