Resumen

In this paper we exemplify how robotic collaboration can be applied using autonomous driving and speech recognition tools we can give users the opportunity to collaborate with a robotic system giving it objectives depending on the needs of the user. As the world evolves and industry 4.0 applications grow, the idea of making people able to collaborate rather than being replaced by robotic systems can modify the strategy and lead to a better and responsible industry.

For this work we applied different tools to show how the collaboration would work in a house environment. We used the python speech recognition tools as our human interaction portal with the robotic system and we combined ROS noetic and gazebo11 to simulate the robot for the human to give objective locations. The movement of the robot will be done using SLAM navigation integrated in Rviz connected to ROS for sending information and the simulation to receive location and scanner values. With the package correctly applied we show how the robot-human interaction is as clean as possible and how we can apply the same principle adding new tools or changing the autonomous movement algorithm if we keep the human interaction confined to voice commands.

Keywords: Robotics, Autonomous Navigation, Collaboration, SLAM, Speech Recognition.

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Table of content

Portada

Índices

Capítulo 1. Introduction

Capítulo 2. Basic Concepts

Capítulo 3. Methodology

Capítulo 4. Results and Analysis

Capítulo 5. Conclusions

Referencias

Full document (archivo pdf, 1 mb)

Vázquez Limón, L. A. 2022. Voice control as a robotic collaboration platform. Artículo Científico Licenciatura. Ingeniería en Robótica y Telecomunicaciones. Departamento de Ingeniería en Computación, Electrónica y Mecatrónica, Escuela de Ingeniería, Universidad de las Américas Puebla. Noviembre. Derechos Reservados © 2022.