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

Authors:
Vadim Kyrylov
Affiliations:
Simon Fraser University --- Surrey, Surrey, British Columbia V3T 2W1, Canada
Venue:
RoboCup 2006: Robot Soccer World Cup X
Year:
2006

Citing 4
Cited 5

An architecture for action selection in robotic soccer

Proceedings of the fifth international conference on Autonomous agents
FC Portugal Team Description: RoboCup 2000 Simulation League Champion

RoboCup 2000: Robot Soccer World Cup IV
Multicriteria Optimization

Multicriteria Optimization
Towards a league-independent qualitative soccer theory for robocup

RoboCup 2004

Probabilistic Decision Making in Robot Soccer

RoboCup 2007: Robot Soccer World Cup XI
Pareto-Optimal Offensive Player Positioning in Simulated Soccer

RoboCup 2007: Robot Soccer World Cup XI
Rational Passing Decision Based on Region for the Robotic Soccer

RoboCup 2007: Robot Soccer World Cup XI
Market-based dynamic task allocation using heuristically accelerated reinforcement learning

EPIA'11 Proceedings of the 15th Portugese conference on Progress in artificial intelligence
Integrating the computer science curriculum by using robot soccer simulator

Proceedings of the Emerging M&S Applications in Industry & Academia / Modeling and Humanities Symposium

Quantified Score

Hi-index	0.00

Visualization

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.