A Case Study on Improving Defense Behavior in Soccer Simulation 2D: The NeuroHassle Approach
RoboCup 2008: Robot Soccer World Cup XII
Real-Time Spatio-Temporal Analysis of Dynamic Scenes in 3D Soccer Simulation
RoboCup 2008: Robot Soccer World Cup XII
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In this article, we propose a behavior generation approach with human instruction to improve the strategy of the RoboCup soccer 3D simulation team. Many teams implement their strategies based on the programmer's own knowledge about soccer. That is, the programmers have to write action rules that cover any situation on the soccer field. Although it is clear that this is not the best approach, there are only a few researchers who have tackled this problem. Here, we solve the problem using human instruction to improve the manually implemented behavior of soccer robots. It is shown that the team performance is improved by the rules generated by this approach.