A Local Path Planning Method for Mobile Robots Based on the Windows
Author:
  • Article
  • | |
  • Metrics
  • |
  • Reference [8]
  • |
  • Related [20]
  • | | |
  • Comments
    Abstract:

    This approach makes robot path planning distinguished from the traditional raster method, then with the window rolling it can achieve global path planning, avoiding the traditional method of grid environment, low resolution of information thereserves big shortcoming, so it has certain research and application value. This method does not only adapt to the static obstacles, but also to the dynamic obstacles. Lastly, the path selected is optimized by Bezier curve. Simulation results prove the effectiveness of the proposed algorithm.

    Reference
    1 李磊,叶涛,谭民等.移动机器人技术研究现状与未来.机器人,2002,24(5):478-480.
    2 Ram A, Santamaria JC.Continous case-based reasoning.Artificial Intelligence, 1997,90(1-2):25-77.
    3 Marefat M, Britanik J.Case-based process planning using on object-oriented model representation.Robics and Computer-Integrated Manufacturing, 1997,13(3):229-251.
    4 席裕庚,李秀明.一种机器人路径规划的新方法.上海交通大学学报,1996,30(4):94-100.
    5 Meed LA.Trends in Evolutionary.Jain LC, Fukuda T, Eds.Soft Computing for Intelligent Robotic System.New York: Physical Verlag, 1998.215-233.
    6 Farritor S, Hacot H, Dubowsky S.Physics based planning for planetary exploration.IEEE International Conf.on Robotics and Automation(ICRA),Leuven,Belgium, 1998.278-283.
    7 吴宪祥,郭宝龙,王娟.基于粒子群的移动机器人路径优化算法.机器人,2009,31(6):257-260.
    8 Wen Z, Cai Z.Global path planning approach based on ant colony optimization algorithm.Journal of Central South University of Technology, 2006,13(6):707-712.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

韩龙,刘国栋.一种基于滚动窗口的移动机器人局部路径规划方法.计算机系统应用,2011,20(8):160-163

Copy
Share
Article Metrics
  • Abstract:
  • PDF:
  • HTML:
  • Cited by:
History
  • Received:November 16,2010
  • Revised:December 13,2010
Article QR Code
You are the first1094947Visitors
Copyright: Institute of Software, Chinese Academy of Sciences Beijing ICP No. 05046678-3
Address:4# South Fourth Street, Zhongguancun,Haidian, Beijing,Postal Code:100190
Phone:010-62661041 Fax: Email:csa (a) iscas.ac.cn
Technical Support:Beijing Qinyun Technology Development Co., Ltd.

Beijing Public Network Security No. 11040202500063