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Author:

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

Indexed by:

EI Scopus

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. © 2013 IEEE.

Keyword:

Robot programming Robots Motion planning

Author Community:

  • [ 1 ] [Yu, Jianjun]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 2 ] [Du, Hongwei]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 3 ] [Wang, Guanwei]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China
  • [ 4 ] [Zhou, Lu]College of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100124, China

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Year: 2013

Page: 2861-2865

Language: Chinese

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 16

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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