Strategy and communication in robotic soccer game

Abstract

We describe the key components of our game strategy for robot soccer [3] in detail. The game can be represented as a trajectory in so-called the virtual grid. The virtual grid generally allows us to reduce data volume for easy description of player motion and subsequently for controlling the game or for learning game strategies. The natural coordinate system is provided be accurate optical sensing of the subject position using lens optical transformations and the CCD camera. This natural coordinate system can be easily mapped to a virtual grid.