• DocumentCode
    2243068
  • Title

    Kalman filter analysis for quantitative comparison of sensory schemes in bilateral teleoperation systems

  • Author

    Cavusoglu, M. Cenk ; Tendick, Frank

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Case Western Reserve Univ., Cleveland, OH, USA
  • Volume
    2
  • fYear
    2003
  • fDate
    14-19 Sept. 2003
  • Firstpage
    2818
  • Abstract
    An important area of research in the teleoperation literature is to develop systematic methods to quantitatively compare different manipulator designs in application critical tasks. Such quantitative methods are especially important during design of the manipulators to make an informed decision among various design alternatives. In this paper, a novel method to quantitatively compare different sensory schemes for a teleoperation system is introduced. This method evaluates the sensory schemes by comparing the norm of the a posteriori error covariance matrices of the Kalman filters for each configuration. The main advantage of this method is that it allows to quantitatively compare arbitrary sensory configurations.
  • Keywords
    Kalman filters; covariance matrices; haptic interfaces; state-space methods; telerobotics; Kalman filter analysis; bilateral teleoperation systems; manipulator designs; posteriori error covariance matrices; quantitative methods; sensory schemes; state space model; systematic methods; Control design; Control systems; Error correction; Force feedback; Kinematics; Robot sensing systems; Sensor systems; State estimation; Surgery; Teleoperators;
  • 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.2003.1242019
  • Filename
    1242019