A Survey of Information Fusion in Multi-Robot Systems

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.