The Research Progress of Soccer Learning Mechanisms for Robot

This study makes a review of learning theories, methods, technologies and applications about robot soccer player’s behavior how to implement complex tasks. And pointed out that the limitations of its existence, as well as learning strategies of robot soccer. As a test bed of multi-agent system research of robot soccer system, many researchers conducted a study on the technology from different sides, and have achieved some success. The study indicated that researches currently on robot soccer system includes soccer robot architecture, collaboration, under the dynamic environment of a robot, sensor data fusion, complex reasoning and action learning in task, opponent modeling, and more.