Sistema de Navegación en un Robot Móvil Cuadrúpedo Empleando Procesamiento de lenguaje Natural (NLP) y localización y Mapeo Simultáneo (SLAM) en Ambientes Controlados

Abstract

This degree project presents the implementation of a navigation system in a mobile quadruped robot composed of NLP (Natural Language Processing) and SLAM (Simultaneous Localization and Mapping). It details the implementation of the natural processing algorithm, the model of the quadruped robot along with its different components and how the SLAM algorithm, RTAB-MAP, was implemented, which allows the robot to create the map of the controlled environment, where it can locate and navigate. in it. The final product is presented: the navigation system in the robot, the videos that verify its correct operation and the repository with the packages developed in ROS.