• DocumentCode
    669558
  • Title

    Study of general local path planner to overcome U-shaped enclosure problem

  • Author

    Jeong-Hyeon Wang ; Ju-Jang Lee

  • Author_Institution
    Robot. Program, KAIST, Daejeon, South Korea
  • fYear
    2013
  • fDate
    20-23 Oct. 2013
  • Firstpage
    1500
  • Lastpage
    1503
  • Abstract
    A new real-time path planning method for mobile robot is proposed based on weighted virtual tangential vector (WVTV) algorithm. The WVTV is obtained by computing weighted sum of virtual tangential vector (VTV) from detected obstacles. It has the property of keeping driving safety and achieve multi object optimization problem with linear combination of several vectors. In spite of these advantages, it is not much general solution to apply any of the mobile robot system. Also, it cannot solve re-entrance of u-shape problem. Our suggested algorithm is considered these pros and cons of WVTV and analyzing the property of obstacle shape, we will have more possibility to solve u-shape problem. Once we classify obstacle as a convex and non-convex, expected route of mobile robot will be identified. Significant performance enhancement of our algorithm is demonstrated by using Matlab simulator modeled by Khepera III for any complex obstacles and mixing any applied u-shape obstacles.
  • Keywords
    collision avoidance; mathematics computing; mobile robots; optimisation; real-time systems; safety; vectors; Khepera III; Matlab simulator; WVTV algorithm; driving safety; local path planning; mobile robot; multiobject optimization; obstacle avoidance; overcome U-shaped enclosure problem; real-time path planning; weighted virtual tangential vector; WVTV; local path planning; local trap; non-convex;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2013 13th International Conference on
  • Conference_Location
    Gwangju
  • ISSN
    2093-7121
  • Print_ISBN
    978-89-93215-05-2
  • Type

    conf

  • DOI
    10.1109/ICCAS.2013.6704124
  • Filename
    6704124