Workspace optimization of parallel robot by using multi-objective genetic algorithm

被引：0
|
作者：
Wang, Jinhong [1 ]
Lei, Jingtao [1 ,2 ]
机构：
[1] School of Mechatronic Engineering and Automation, Shanghai University, Shanghai,200444, China
[2] Shanghai Key Laboratory of Intelligent Manufacturing and Robotics, Shanghai,200444, China
来源：
High Technology Letters | 2022年 / 28卷 / 04期
基金：
国家重点研发计划;
关键词：
Condition numbers - Global conditions - Jacobi matrix - Multi-objectives genetic algorithms - Objective functions - Optimisations - Parallel robots - Solution methods - Workspace optimization - Workspace problems;
D O I：
10.3772/j.issn.1006-6748.2022.04.009
中图分类号：
学科分类号：
摘要：
18
引用
收藏
页码：411 / 417
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