Shape recognition: a fuzzy approach

Abstract

We address the problem of shape recognition in the context of autonomous navigation of mobile robots. We present an association procedure which is able to establish the correspondence between elements of a learned fuzzy internal representation of the environment and currently perceived objects. Using this procedure, the robot is able to periodically decrease the uncertainty with respect to its position. In this way, the information provided by its perception sensors results in an effective extension of the robot's autonomy.