Abstract
The aim of this paper is to propose an alternative to the traditional approaches that are applied to address the complex problems generated by indoor navigation using sonar maps. Essentially, we present an architecture based on a reasoning method that is known as Case-Based Reasoning in the Artificial Intelligence domain. The system we have developed is capable of analyzing the maps obtained from a robot’s ultrasonic sensors, of recognizing the represented object and consequently of making this information available for subsequent experiences. In this way, the robot acquires knowledge on a progressive basis and is therefore able to navigate autonomously in an environment of which it initially has no prior information.
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