Fuzzy shape recognition for robot repositioning

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, a mobile robot is able to periodically decrease the uncertainty affecting its position.