Abstract
Multi-sensor Information Fusion can get more accurate information required by the system through fusing redundant, complementary, or more real-time information provided by multiple sensors. This paper, with the emphasis on the MIF technology, combining its application in mobile robots, is discussed from two aspects, namely theory and simulation experiments. First of all, this paper expounds the basic principle of MIF technology, systematic structure and gradation of information fusion and information fusion methods; Secondly, based on the theory of neural network integration, it discusses the application of MIF technology in the field of robots , providing an effective method for navigation and obstacle avoidance of mobile robots.
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