Objects tracking of the mobile robot using the hybrid visual servoing

Kang I.L. Park, Chang Jun Woo, Jangmyung Lee

Research output: Contribution to journalArticlepeer-review

Abstract

This paper proposes a hybrid visual servoing algorithm for the object tracking by a mobile robot with the stereo camera. The mobile robot with the stereo camera performs an object recognition and object tracking using the SIFT and CAMSHIFT algorithms for the hybrid visual servoing. The CAMSHIFT algorithm using stereo camera images has been used to obtain the three-dimensional position and orientation of the mobile robot. With the hybrid visual servoing, a stable balance control has been realized by a control system which calculates a desired angle of the center of gravity whose location depends on variations of link rotation angles of the manipulator. A PID controller algorithm has adopted in this research for the control of the manipulator since the algorithm is simple to design and it does not require unnecessary complex dynamics. To demonstrate the control performance of the hybrid visual servoing, real experiments are performed using the mobile manipulator system developed for this research.

Original languageEnglish
Pages (from-to)781-787
Number of pages7
JournalJournal of Institute of Control, Robotics and Systems
Volume21
Issue number8
DOIs
StatePublished - 1 Jan 2015

Keywords

  • Kinematics
  • Mobile robot
  • Object tracking
  • Visual servoing

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