Path Planning Algorithm for Indoor Cleaning Robot
CSTR:
Author:
  • Article
  • | |
  • Metrics
  • |
  • Reference [11]
  • |
  • Related [20]
  • |
  • Cited by
  • | |
  • Comments
    Abstract:

    Cleaning robots has become an important one among the family as service robots; full coverage path planning is one of the important technologies. This paper presents a new path planning algorithm, which uses a grid model for modeling for the indoor environment, and generates an undirected complete graph G. It uses depth-first search and breadth-first search combined in figure G, while applying topological sorting constantly updated graph G to generate the full coverage of the shortest path planning. Finally, it uses the spanning tree to prove the effectiveness and feasibility of this algorithm.

    Reference
    1 曲道奎,杜振军,徐殿国,徐方.移动机器人路径规划方法研 究.机器人,2008,2:97-101,106.
    2 赵慧南.移动机器人全覆盖路径规划算法的研究[学位论 文].长春:东北师范大学,2011.
    3 尹禄.室内移动机器人全覆盖路径规划的研究与实现[学位 论文].长春:东北师范大学,2013.
    4 张祺,宜发.基于改进人工势场法的足球机器人避碰控制.机 器人,2002,24(1):12-15.
    5 高云峰,黄海.复杂环境下基于势场原理的路径规划方法.机 器人,2004,26(2):114-118.
    6 朱庆保,张玉兰.基于栅格法的机器人路径规划蚁群算法.机 器人,2005,27(2):132-136.
    7 王银年.遗传算法的研究与应用[学位论文].无锡:江南大学,2009.
    8 景兴建,王超越.一种基于理性遗传算法的协调运动行为合 成算法.机器人,2002,24(1):49-54.
    9 Yang SX, Luo C. A neural network approach to complete coverage path planning. IEEE Trans. on Systems, Man and Cybernetics part B, 2004, 1(34): 718-724.
    10 Luo CM, Yang SX, Meng M. Entire region filling in indoor environments using neural networks. Intelligent Control and Automation, 2002. Proc. of the 4th World Congress on.10-14 June 2002, 3(3): 2039-2044.
    11 Rimon E. Exact robot navigation using artificial potential functions. IEEE Trans. on Robotics and Automation, 1992,8(5): 501-518.
    Cited by
    Comments
    Comments
    分享到微博
    Submit
Get Citation

李淑霞,杨俊成.一种室内清扫机器人路径规划算法.计算机系统应用,2014,23(9):170-172

Copy
Share
Article Metrics
  • Abstract:1930
  • PDF: 4233
  • HTML: 0
  • Cited by: 0
History
  • Received:January 08,2014
  • Revised:March 27,2014
  • Online: September 18,2014
Article QR Code
You are the first990537Visitors
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