Coarsely calibrated visual servoing of a mobile robot using a catadioptric vision system

Romeo Tatsambon Fomena, Han Ul Yoon, Andrea Cherubini, François Chaumette, Seth Hutchinson

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

Abstract

A catadioptric vision system combines a camera and a mirror to achieve a wide field of view imaging system. This type of vision system has many potential applications in mobile robotics. This paper is concerned with the design of a robust image-based control scheme using a catadioptric vision system mounted on a mobile robot. We exploit the fact that the decoupling property contributes to the robustness of a control method. More precisely, from the image of a point, we propose a minimal and decoupled set of features measurable on any catadioptric vision system. Using the minimal set, a classical control method is proved to be robust in the presence of point range errors. Finally, experimental results with a coarsely calibrated mobile robot validate the robustness of the new decoupled scheme.

Original languageEnglish (US)
Title of host publication2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
Pages5432-5437
Number of pages6
DOIs
StatePublished - Dec 11 2009
Event2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009 - St. Louis, MO, United States
Duration: Oct 11 2009Oct 15 2009

Publication series

Name2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009

Other

Other2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2009
Country/TerritoryUnited States
CitySt. Louis, MO
Period10/11/0910/15/09

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Control and Systems Engineering

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