• DocumentCode
    2138166
  • Title

    Omni-directional visual servoing for human-robot interaction

  • Author

    Chang, Peng ; Hebert, Martial

  • Author_Institution
    Robotics Inst., Carnegie Mellon Univ., Pittsburgh, PA, USA
  • Volume
    3
  • fYear
    1998
  • fDate
    13-17 Oct 1998
  • Firstpage
    1801
  • Abstract
    We describe a visual servoing system developed as a human-robot interface to drive a mobile robot toward any chosen target. An omni-directional camera is used to get the 360 degree of field of view, and an efficient tracking technique is developed to track the target. The use of the omni-directional geometry eliminates, many of the problems common in visual tracking and makes the use of visual servoing a practical alternative for robot-human interaction. The experiments demonstrate that it is an effective and robust way to guide a robot. In particular the experiments show robustness of the tracker to loss of template, vehicle motion, and change in scale and orientation
  • Keywords
    geometry; image motion analysis; image sensors; mobile robots; robot vision; target tracking; human-robot interaction; omni-directional camera; omni-directional geometry; omni-directional visual servoing; robot-human interaction; Cameras; Communication system control; Computational geometry; Image reconstruction; Mobile robots; Robot control; Robot vision systems; Robustness; Target tracking; Visual servoing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Robots and Systems, 1998. Proceedings., 1998 IEEE/RSJ International Conference on
  • Conference_Location
    Victoria, BC
  • Print_ISBN
    0-7803-4465-0
  • Type

    conf

  • DOI
    10.1109/IROS.1998.724858
  • Filename
    724858