Optimal control of a mobile robot describing minimum-length paths with forward and backward motion

Luis Velasco Mellado, Antonio Moran Cardenas, Francisco Cuellar Cordova

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Resumen

This paper presents a novel path planning algorithm for a car-like mobile robot describing optimal paths using forward and backward motion combined. Path planning for tracking a mobile robot is an important part of an autonomous control system, especially when precision and high energy performance is required, considering several constraints depending on the robot dynamics and the environment. The proposed algorithm uses curves and straight lines, which perfectly describe the desired minimum-length and then applying feedback linearization techniques to design a controller for generating the correct value of robot velocity and steering angle. Simulations are presented to validate the algorithm, leading the mobile robot to describe the optimal trajectory under different working conditions, verifying the effectiveness of the proposed control method.

Idioma originalInglés
Título de la publicación alojada2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas354-359
Número de páginas6
ISBN (versión digital)9781728100647
DOI
EstadoPublicada - jul. 2019
Evento4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019 - Osaka, Japón
Duración: 3 jul. 20195 jul. 2019

Serie de la publicación

Nombre2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019

Conferencia

Conferencia4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
País/TerritorioJapón
CiudadOsaka
Período3/07/195/07/19

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