Strategy for collaboration in robot soccer

Abstract

Robot soccer is a challenging platform for multi-agent research, involving topics such as real-time image processing and control, robot path planning, obstacle avoidance and machine learning. The robot soccer game presents an uncertain and dynamic environment for cooperating agents. Dynamic role switching and formation control are crucial for a successful game. The fuzzy logic based strategy described in the paper employs an arbiter which assigns a robot to shoot or pass the ball.