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作者:

Yu Jianjun (Yu Jianjun.) | Du Hongwei (Du Hongwei.) | Wang Guanwei (Wang Guanwei.) | Zhou Lu (Zhou Lu.)

收录:

CPCI-S

摘要:

This article is about artificial potential field (APF) used in moving robot path planning. However, due to the limitations of the algorithm, the robot is easy to fall into local minima destination unreachable during obstacle avoidance and target trends path planning. For this problem, we use "virtual obstacle" and "associate target" methods to improve APF, and successfully apply to robot path planning. Simulation results verify the feasibility of the algorithm.

关键词:

Improved artificial potential field Local minimization Local path planning

作者机构:

  • [ 1 ] [Yu Jianjun]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 2 ] [Du Hongwei]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 3 ] [Wang Guanwei]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China
  • [ 4 ] [Zhou Lu]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China

通讯作者信息:

  • [Yu Jianjun]Beijing Univ Technol, Coll Elect Informat & Control Engn, Beijing 100124, Peoples R China

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来源 :

2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)

ISSN: 1948-9439

年份: 2013

页码: 2861-2865

语种: 中文

被引次数:

WoS核心集被引频次: 7

SCOPUS被引频次:

ESI高被引论文在榜: 0 展开所有

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