• DocumentCode
    2234257
  • Title

    Mobile robot navigation using sensor fusion

  • Author

    Lizarralde, Fernando ; Nunes, Eduardo V L ; Hsu, Liu ; Wen, John T.

  • Author_Institution
    Dept. of Electr. Eng., Fed. Univ. of Rio de Janeiro, Brazil
  • Volume
    1
  • fYear
    2003
  • fDate
    14-19 Sept. 2003
  • Firstpage
    458
  • Abstract
    This paper considers the localization and navigation of a mobile robot. The control strategy is based on a nonlinear model predictive control technique that utilizes the Newton method. The robot localization is obtained using information from odometric and ultrasonic sensors through a Kalman filter. Simulation and experimental results illustrate the efficacy of the proposed method.
  • Keywords
    Kalman filters; Newton method; distance measurement; mobile robots; motion control; navigation; nonlinear control systems; path planning; predictive control; sensor fusion; Kalman filter; Newton method; mobile robot navigation; nonlinear model predictive control technique; odometric sensors; robot localization; robot motion control; sensor fusion; ultrasonic sensors; Control systems; Mobile robots; Navigation; Newton method; Open loop systems; Optimal control; Robot control; Robot sensing systems; Sensor fusion; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation, 2003. Proceedings. ICRA '03. IEEE International Conference on
  • ISSN
    1050-4729
  • Print_ISBN
    0-7803-7736-2
  • Type

    conf

  • DOI
    10.1109/ROBOT.2003.1241637
  • Filename
    1241637