• DocumentCode
    3446534
  • Title

    Study on Adaptive Data Processing of Autonomous Robot

  • Author

    Yang, Qingmei ; Sun, Jianmin

  • Author_Institution
    Beijing Union Univ., Beijing
  • fYear
    2007
  • fDate
    23-25 May 2007
  • Firstpage
    1653
  • Lastpage
    1656
  • Abstract
    A autonomous robot called move-in-mud robot is used to excavate the hole in the mud underwater to put the wire rope for uplifting the sunken ship in wreck salvage. Owing to the abominable environment in the mud underwater, the location system is important for move-in-mud robot to move in mud according to the prearranged trajectory-Working principle of move-in-mud robot is analyzed and the location system of move-in-mud robot is designed. With relative location, location errors are accumulated with the increase of move length, so the total errors are increased. LMS adaptive algorithm is widely applied to process data. To improve the accuracy of location system, LMS adaptive algorithm is applied to process the data of location. Based on the theoretical analysis of the adaptive algorithm, LMS adaptive algorithm of location system is applied and simulated with Matlab. The simulation results show that LMS adaptive algorithm can improve the accuracy of location system.
  • Keywords
    least mean squares methods; mobile robots; LMS adaptive algorithm; adaptive data processing; autonomous robot; location system; move-in-mud robot; mud underwater; trajectory-working principle; wire rope; Adaptive algorithm; Data processing; Least squares approximation; Marine vehicles; Robotics and automation; Robots; Steel; Trajectory; Turning; Underwater cables;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2007. ICIEA 2007. 2nd IEEE Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-0737-8
  • Electronic_ISBN
    978-1-4244-0737-8
  • Type

    conf

  • DOI
    10.1109/ICIEA.2007.4318690
  • Filename
    4318690