中文摘要：

对各种适用于多机器人系统的信息融合拓扑结构、融合方法进行了系统的综述，重点分析了适用于分布式多机器人协作系统及强化学习的信息融合结构．以及近年来神经网络、模糊系统、遗传算法、粗糙集理论等信息融合算法相互融合的发展趋势。并提出了若干多机器人系统信息融合目前存在的问题和发展方向。

英文摘要：

Methods are two key problems in multi-robot systems. Various information fusion models, topological structures, and algorithms, which are applicable to multi-robot systems, are reviewed comprehensively, among which the system structure of distributed coordinative multi-robot systems employing reinforcement learning method and the trend of fusion among neural network, fuzzy system, genetic algorithm, rough set theory are analyzed as emphases. Finally, several existing problems and the trends of development in this area are pointed out.