Path-following control for mobile robots localized via sensor-fused visual homography

Aykut Satici, David Tick, Jinglin Shen, Nicholas Gans

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

4 Scopus citations

Abstract

This paper presents a novel navigation and control system for wheeled mobile robots that includes path planning, localization, and control. A path following control system is introduced that is capable of guiding and keeping the robot on a designated curve. Localization and velocity estimation are provided by a unique sensor fusion algorithm that incorporates vision, IMU and wheel encoder data. Stability analysis is provided for the control system, and experimental results are presented that prove the combined localization and control system performs with high accuracy.

Original languageEnglish
Title of host publication2013 American Control Conference, ACC 2013
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6287-6293
Number of pages7
ISBN (Print)9781479901777
DOIs
StatePublished - 2013
Event2013 1st American Control Conference, ACC 2013 - Washington, DC, United States
Duration: 17 Jun 201319 Jun 2013

Publication series

NameProceedings of the American Control Conference
ISSN (Print)0743-1619

Conference

Conference2013 1st American Control Conference, ACC 2013
Country/TerritoryUnited States
CityWashington, DC
Period17/06/1319/06/13

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