Abstract
We have built up a system to apperceive unknown environment based on multi-sensors' data fusion, which enabled the self-determinative mobile robot recognize timely the type of obstacles around it in the course of travel, and the mobile robot would be provided with more intelligent operations. Firstly, the paper introduced the theory of environmental perception for mobile robot and the configuration of the multi-sensors' data fusion technology. Secondly, combining with the characteristics of neural network (NN) and aiming at the shortages of the former solving projects, it was brought forward that the MLP (Multi-layer perceptron) based on the improved back propagation (BP) arithmetic and four mature items of fusion rules, which were applied to apperceive the real surroundings. Thirdly, the paper presents a kind of structure of multi-sensor information data fusion. Two sub-networks for barrier recognition are separately built and incorporated with each other to form a high-powered recognition system by parallel connection.
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