Visual optimization and decision making system for android robot soccer

The paper developed a visual optimization algorithm to ameliorate the problems encountered by androids on the soccer field involving a visual prediction path that can assist the soccer androids in their ball passing function. It includes path planning, obstacle avoidance function, image processing, instant control and smart decision-making techniques. The dynamics of the androids on the soccer field is changing rapidly and the tasks of the soccer androids need to be adjusted according to the actual situation; that means, it needs to transform their roles instantly. Therefore, the system takes decision-tree deduction parameters to make the robot task decision so that the robot can quickly perform obstacle avoidance task and real-time optimization controls on attacking, defending and guarding the goal. According to the result of the experiment, it is evident that the proposed scheme can indeed achieve the role of task allocation and improve the efficiency of motion controls.