Welcome to Journal of Beijing Institute of Technology
Volume 11Issue 2
.
Turn off MathJax
Article Contents
JIA Yan hua, MEI Feng xiang. Simple Path Planning for Mobile Robots in the Present of Obstacles[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2002, 11(2): 208-211.
Citation: JIA Yan hua, MEI Feng xiang. Simple Path Planning for Mobile Robots in the Present of Obstacles[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2002, 11(2): 208-211.

Simple Path Planning for Mobile Robots in the Present of Obstacles

Funds:SponsoredbyNationalNaturalScienceFoundation(19972010);FundforResearchonDoctoralProgramsinInstitutionsofHigherLearning
  • Received Date:2001-09-18
  • To obtain the near optimal path for the mobile robots in the present of the obstacles, where the robots are subject to both the nonholonomic constraints and the bound to the curvature of the path, a simple planning is applied by the heuristic searching method in which Reeds and Shepp's shortest paths are chosen as heuristic functions. It has performed well in simulation of mobile robots moving in a cluttered environment.
  • loading
  • [1]
    Latombe J C.Robot motion planning[M]. Kluwer:Kluwer Academic Publisher,1991.
    [2]
    Laumond J P,J acobs P E,Taix M,et al.A motionplanner for nonholonomic mobile robots[J]. IEEE TransRobot Automat,1994,10:133-156.
    [3]
    Svest ka P,Overmars M H.Motion planning for car-likerobots using a probabilistic learning approach[J]. InternJournal of Rob Research,1995,16:119-143.
    [4]
    Reeds J A,Shepp R A.Optimal pat hs for a car t hat goesbot h forward and backward[J]. Pacific Journal of Mat hematics,1991,145(2):367-393.
    [5]
    Zhong Xin,Lu Tianshen.Pat h-planning met hod basedon GA for car-like robots[J]. Journal of Shanghai Jiaotong University,1999,33(7):885-888.(in Chinese)
    [6]
    Laumond J P,Risler J J.Nonholonomic systems:controllability and complexity[J]. Theoretical Computer Science,1996,157:101-114.
  • 加载中

Catalog

    通讯作者:陈斌, bchen63@163.com
    • 1.

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (256) PDF downloads(23) Cited by()
    Proportional views
    Related

    /

      Return
      Return
        Baidu
        map