Team Recognition using 3D-CNN in the RoboCup Soccer Simulation

Abstract

In the competitive team games such as soccer, the compatibility of tactics with opponent team greatly affects the result of game. In order to improve the team performance, teams need to adapt their tactics according to the opponent team’s one. We proposed the method to recognize opponent team using 3D-CNN that can deal with time-series data. In the experiment, we use the RoboCup Soccer Simulator as a environment. As a result, We could obtain about 80% recognition accuracy for 16 teams participating in RoboCup2017.