• DocumentCode
    2540314
  • Title

    Implement a Path Planning Method for Mobile Robots on the Unknown Environment

  • Author

    Su, Kuo-Lan ; Shiau, Sheng-Ven ; Guo, Jr-Hung ; Liao, Yi-Lin

  • Author_Institution
    Dept. of Electr. Eng., Yunlin Univ. of Sci. & Technol., Yunlin, Taiwan
  • fYear
    2010
  • fDate
    13-15 Dec. 2010
  • Firstpage
    445
  • Lastpage
    448
  • Abstract
    The article developed a path planning method for mobile robots moving to the target position on the unknown environment, and uses the dynamic programming algorithm to solve the minimum displacement techniques. The mobile robot has the shape of cylinder and its diameter, height and weight is 8cm, 15cm and 1.5kg. The controller of the mobile robot is MCS-51 microchip. The mobile robot contains a controller module (including DC motor driver), an obstacle detection module, a voice module, a wireless RF module, an encoder module, and a compass module. Mobile robots can modify the error of the orientation using the compass module, and use encoder module to calculate displacement. We design the grid platform to implement the proposed method using the mobile robot. In the experimental results, the supervised computer controlled the mobile robot moving to the target position on the unknown environment, and receives the pulse numbers from the mobile robots via wireless RF interface. The supervised computer fined out the minimum displacement, and compared to the previous trajectories, and controlled the mobile robot moving to the start position according to the minimum displacement.
  • Keywords
    DC motor drives; compasses; dynamic programming; mobile robots; path planning; position control; radiofrequency identification; DC motor driver; MCS 51 microchip; compass module; dynamic programming; encoder module; minimum displacement technique; mobile robot; obstacle detection; path planning; wireless RF module; Green products; Mobile robots; Robot kinematics; Robot sensing systems; Trajectory; Wireless communication; compass module; dynamic programming algorithm; mobile robots; path plannin methodt;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
  • Conference_Location
    Shenzhen
  • Print_ISBN
    978-1-4244-8891-9
  • Electronic_ISBN
    978-0-7695-4281-2
  • Type

    conf

  • DOI
    10.1109/ICGEC.2010.117
  • Filename
    5715465