Paper Title:
The Application of an Improved Ant Colony Algorithm in Mobile Robot Path Planning
  Abstract

This paper presents an improved ant colony algorithm to plan an optimal collision-free path for mobile robot in complicated static environment. Based on the work space model with grid method, simulated foraging behavior of ants and to serve the mobile robot path planning, update the conventional ant colony algorithm with some special functions. To avoid mobile robot path deadlock, a dead-corner table is established and the penalty function is used to update the trail intensity when an ant explores a dead—corner in the path searching. The simulation results show that the algorithm can improve performance of path planning obviously, and the algorithm is simple and effective.

  Info
Periodical
Key Engineering Materials (Volumes 467-469)
Edited by
Dehuai Zeng
Pages
222-225
DOI
10.4028/www.scientific.net/KEM.467-469.222
Citation
X. G. Zhu, Q. Y. Han, Z. Q. Wang, "The Application of an Improved Ant Colony Algorithm in Mobile Robot Path Planning", Key Engineering Materials, Vols. 467-469, pp. 222-225, 2011
Online since
February 2011
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Price
$32.00
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