Computational approaches for improving the performance of path tracking controllers for mobile robots

Fernando Auat Cheein, Saso Blazic, Miguel Torres-Torriti

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

Performance of path tracking controllers for mobile robots is usually constrained to the tuning of a set of gains within previously known boundaries. In industrial applications, controller tuning is a time consuming task, which is especially critical when the gain values have a considerable impact on the use of the robot's energy resources. In this paper, we propose a set of approaches to automatically improve the performance of well-known path tracking controllers used for agricultural applications of automated agricultural machinery. The effect of the proposed strategy can be better appreciated during the transient response of the robot when it has to maneuver along a non-kinematically compatible path. The results presented in this work show that the robot's path tracking performance is improved up to 15% using the proposed approaches.

Original languageEnglish
Title of host publication2015 IEEE/RSJ International Conference on Intelligent Robots and Systems
PublisherIEEE
Pages6495-6500
Number of pages6
ISBN (Electronic)9781479999941
DOIs
Publication statusPublished - 17 Dec 2015
Event28th IEEE/RSJ International Conference on Intelligent Robots and Systems 2015 - Hamburg, Germany
Duration: 28 Sept 20152 Oct 2015

Conference

Conference28th IEEE/RSJ International Conference on Intelligent Robots and Systems 2015
Abbreviated titleIROS 2015
Country/TerritoryGermany
CityHamburg
Period28/09/152/10/15

Keywords

  • Bicycles
  • Measurement
  • Mobile robots
  • Monte Carlo methods
  • Process control
  • Service robots

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Vision and Pattern Recognition
  • Computer Science Applications

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