The Study of Path Planning of Welding Manipulator Based on Improved Genetic Algorithm

被引：0

作者：

Zhang, Banglin ^{[1
]}

Luo, Bingyang ^{[1
]}

Zhu, Xiaoyue ^{[1
]}

Han, Yuying ^{[1
]}

Zhang, Shaochen ^{[1
]}

机构：

[1] Wuhan Univ Technol, Sch Automat, Wuhan 430070, Hubei Province, Peoples R China

来源：

PERVASIVE COMPUTING AND THE NETWORKED WORLD | 2014年 / 8351卷

关键词：

Genetic algorithm (GA); Path Planning; Manipulator; Simulation; MATLAB;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

One of the key problems of welding manipulator design is Path planning. It is of great significance to Planning out a reasonable path for manipulator to increase the productivity of the manipulator. Using improved crossover operator and mutation operator, this paper seeks to find a improved genetic algorithm for the manipulator path planning. This paper used the MATLAB software to write the corresponding planning process, an optimal welding path is worked out for the manipulator.

引用

页码：774 / 782

页数：9

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