国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

Research on the robot system structure, the organization of action learning and behavior way, evolutionary computation as the basic method, RoboCup2D as platform, designs the architecture of soccer robot based on PSO algorithm, solving the problem of perception, action, and planning. By offline training, agents format perception rules and relevant parameters, to optimize perception method for the information, and according to the granularity, functions, and parameters manually specified, PSO builds a set of combo actions, which described by atomic actions, parameters and execution results. According to game environment and a few task rules, PSO searches for task, behavior, and combo actions, as a whole, to accomplish the game tasks. The simulation experiments on RoboCup2D platform show that, agent based on PSO is a robust and flexible robot control method:given evaluation methods and implementation frames, it is able to learn rapidly in real environment, and displays planning behavior without the use of classical planning techniques. 