Abstract

Multisensory fusion is being increasing viewed as an important activity in the filed of mobile robot navigation and obstacle avoidance. The fusion of data from a variety of sensors makes the mobile robot more easily survival in a hostile environment. It takes advantage of the redundancy and reciprocity of multisensory data and increases the precision and reliability of inference and judgment for the mobile robot. This paper presents a method which employs fuzzy logic and neural networks to fuse data from several kinds of sensors. As a result, more exact navigation and quick obstacle avoidance can be achieved.

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