Based on soccer robot simulation as its research platform, this paper studies the learning of high level strategy of multi-agent adversarial system.
本文以足球仿真机器人系统为研究平台，研究多智能体对抗系统的高层策略学习问题。
The simulation system includes simulation of the real world, design of decision system and animation design. It can demonstrate vividly the competitive scene of robot soccer tournaments.
该仿真系统包括对现实世界的仿真、决策系统设计和动画设计，能够生动地再现机器人足球比赛的激烈场面。
Studied a method of obstacle avoidance of the soccer robot based on simulation platform. The robot avoids the obstacle ahead through a section of arcs intelligently.
研究了一种基于仿真比赛平台的足球机器人避障方法，机器人通过一段弧线智能地躲开前方的障碍物。
Robot soccer competitions combined the simulation of decision-making and response, path planning, genetic algorithms and intelligent control subjects, which is a good platform for multi-agent study.
机器人足球仿真比赛融合了决策与对策、路径规划、遗传算法与智能控制等学科内容，是研究多智能体的一个很好的平台。
Robot soccer competitions combined the simulation of decision-making and response, path planning, genetic algorithms and intelligent control subjects, which is a good platform for multi-agent study.
机器人足球仿真比赛融合了决策与对策、路径规划、遗传算法与智能控制等学科内容，是研究多智能体的一个很好的平台。
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