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

Luis Velasco Mellado, Antonio Moran Cardenas, Francisco Cuellar Cordova

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

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.

Original languageEnglish
Title of host publication2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages354-359
Number of pages6
ISBN (Electronic)9781728100647
DOIs
StatePublished - Jul 2019
Event4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019 - Osaka, Japan
Duration: 3 Jul 20195 Jul 2019

Publication series

Name2019 4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019

Conference

Conference4th IEEE International Conference on Advanced Robotics and Mechatronics, ICARM 2019
Country/TerritoryJapan
CityOsaka
Period3/07/195/07/19

Keywords

  • Feedback linearization
  • Minimum path
  • Mobile robot
  • Optimal control

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