Paper Title:
Research on Welding Robot Path Planning Using Ant Colony Optimization
  Abstract

The path planning is one core aspect of the research of robotics. In order to solve the problem that the welding robot path planning in the production line of BIW is inefficient, this paper analyzes the problem of the welding robot path planning and abstracts it into the TSP model. Finally, the optimal welding path is calculated using Ant Colony Optimization (ACO) based on the MATLAB7.0 environment. The result shows that this algorithm is an accurate and effective tool for welding path planning.

  Info
Periodical
Advanced Materials Research (Volumes 201-203)
Edited by
Daoguo Yang, Tianlong Gu, Huaiying Zhou, Jianmin Zeng and Zhengyi Jiang
Pages
1926-1929
DOI
10.4028/www.scientific.net/AMR.201-203.1926
Citation
J. H. Wang, R. H. Xiao, Y. L. Ma, "Research on Welding Robot Path Planning Using Ant Colony Optimization", Advanced Materials Research, Vols. 201-203, pp. 1926-1929, 2011
Online since
February 2011
Keywords
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