Research on Welding Robot Path Planning Using Ant Colony Optimization

Abstract:

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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 et al., "Research on Welding Robot Path Planning Using Ant Colony Optimization", Advanced Materials Research, Vols. 201-203, pp. 1926-1929, 2011

Online since:

February 2011

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Price:

$35.00

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