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Author:

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

Indexed by:

CPCI-S

Abstract:

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.

Keyword:

Local path planning Improved artificial potential field Local minimization

Author Community:

  • [ 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

Reprint Author's Address:

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

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Source :

2013 25TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC)

ISSN: 1948-9439

Year: 2013

Page: 2861-2865

Language: Chinese

Cited Count:

WoS CC Cited Count: 9

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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