Simulated Robot Soccer Competition Structure And Design Of The Study

With the development of computer technology, the theory and application of Multi-agent Systems (MAS) has become the focus of AI research. RoboCup (Robot World Cup Soccer Games and Conferences) become an international organization oriented the research and educatioa It is an attempt to promote AI and robotics research by providing a standard task for evaluation of various theories, algorithms, and agent architectures.In this paper, we introduce the layered structure of Agent Architecture. The main control loop of our architecture uses perception interpretation and action prediction to update the world state and then use a specific high-level decision module to decide next action, moreover, we introduce the concepts of Situation Based Strategic Positioning and Dynamic Positioning and Role Exchange. We build up a flexible Team Strategy for coordinating a team of agents.This paper achieves purposes as follow:1 get the understanding of the RoboCup simulation system makeup and how it function, including server, monitor and client.2 design amd improve part of the module such as: world module > action module -. action prediction perception interpretation etc.3 research the high-level strategy module, including Tactics, Formation, Player type, Situation, Communication and Perception, OppModStrategies. The main research on the SBSP (Situation Based Strategic Positioning) and DPRE (Dynamic Positioning and Role Exchange).4 demonstrate the client program in the simulation system and optimize the program.