Role Selection Mechanism for the Soccer Robot System using Petri Net

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 system consists of a supervisory controller, and controllers for defending and goalkeeping robots. These controllers are designed using Petri net. 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. A soccer robot has to take an appropriate decision based on environment situation. With the role of a robot fixed as goalkeeper, the supervisor, according to the game situation, assigns the role of attacking or defending to the other robots and then respective controllers control the robots. The Petri net model is implemented in Petri net toolbox under MATLAB environment.