• DocumentCode
    3177516
  • Title

    Mobile robot localization in a structured environment cluttered with obstacles

  • Author

    Holenstein, Alois A. ; Müller, Markus A. ; Badreddin, Essam

  • Author_Institution
    Inst. of Autom. Control, Swiss Federal Inst. of Technol., Zurich, Switzerland
  • fYear
    1992
  • fDate
    12-14 May 1992
  • Firstpage
    2576
  • Abstract
    The authors describe a method for mobile robot localization in an a priori known structured environment cluttered with unknown obstacles. The method is nearly independent of the number of obstacles encountered. An environment model based on ultrasonic range readings was built and compared with the reference model using clustering techniques. The method is very robust and works well if only a few parts of the environment are known. Results from an implementation on the mobile robot RAMSIS are presented
  • Keywords
    mobile robots; navigation; pattern recognition; position control; sonar; RAMSIS; clustering; mobile robot localization; navigation; object recognition; position control; structured environment; ultrasonic range readings; Automatic control; Binary search trees; Image segmentation; Mobile robots; Navigation; Object recognition; Robot sensing systems; Robotics and automation; Robustness; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 1992. Proceedings., 1992 IEEE International Conference on
  • Conference_Location
    Nice
  • Print_ISBN
    0-8186-2720-4
  • Type

    conf

  • DOI
    10.1109/ROBOT.1992.220054
  • Filename
    220054