An Inferring Semantic System Based on Relational Models for Mobile Robotics

Abstract

Nowadays, there are many robots with the ability to move along its environment and they need a navigation system. In the semantic navigation paradigm, the ability to reason and to infer new knowledge is required. In this work a relational database is presented and proposed. This database allows to manage and to raise queries of semantic information from any environment in which a mobile robot would perform a semantic navigation, providing advantages such as conceptual simplicity and a fast method for switching between semantic environments, being unnecessary redefine new rules. In this paper, a target topological level is obtained from a semantic level destination.