• DocumentCode
    1604003
  • Title

    Mobile robot position determination using data from gyro and odometry

  • Author

    Azizi, Farouk ; Houshangi, Nasser

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Purdue Univ., Hammond, IN, USA
  • Volume
    2
  • fYear
    2004
  • Firstpage
    719
  • Abstract
    The research objective is to determine an accurate position and orientation for mobile robots based on information received from odometry and inertial sensors. For a wheeled robot, odometry is one of the important means of achieving the robot position. To improve on odometry´s error, the information from odometry is integrated with the inertial system using unscented Kalman filter (UKF).
  • Keywords
    Kalman filters; attitude measurement; distance measurement; gyroscopes; inertial navigation; mobile robots; position measurement; sensor fusion; gyroscope data; inertial sensors; mobile robot orientation; mobile robot position determination; odometry data; odometry error; unscented Kalman filter; wheeled robot; Gyroscopes; Inertial navigation; Mobile robots; Nonlinear systems; Position measurement; Robot kinematics; Robot sensing systems; Sensor systems; Vehicles; Wheels;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Computer Engineering, 2004. Canadian Conference on
  • ISSN
    0840-7789
  • Print_ISBN
    0-7803-8253-6
  • Type

    conf

  • DOI
    10.1109/CCECE.2004.1345215
  • Filename
    1345215