Research on Structural Parameter Optimization of Binocular Vision Measuring System for Parallel Mechanism

Author(s):  
Yubo Guo ◽  
Yu Yao ◽  
Xiaoguang Di

2012 ◽  
Vol 11 (7) ◽  
pp. 859-867 ◽  
Author(s):  
Shaorong Xie ◽  
Shuping Li ◽  
Junjie Huang ◽  
Hengyu Li ◽  
Jun Luo


Optik ◽  
2021 ◽  
Vol 226 ◽  
pp. 165806
Author(s):  
Yang Liwei ◽  
Fan Yanchao ◽  
Chai Fangmao ◽  
Pang Xinyuan ◽  
Dong deyi






Author(s):  
Kurt Talke ◽  
Dylan Drotman ◽  
Nicholas Stroumtsos ◽  
Mauricio de Oliveira ◽  
Thomas Bewley


Author(s):  
Yue Wang ◽  
Dongli Gan ◽  
Yanjie Zhang ◽  
Fuchuan Huang


2013 ◽  
Vol 2013.50 (0) ◽  
pp. 021401-021402
Author(s):  
Tatsurou MOTOYA ◽  
Hiroshi TACHIYA ◽  
Yusuke MIYAZAKI ◽  
Keigo FUJITA ◽  
Muneharu TSURUOKA


2013 ◽  
Vol 756-759 ◽  
pp. 4082-4089
Author(s):  
Zhan Li Li ◽  
Xiang Ting He

Firstly, the structural parameter optimization of the tooth-arrangement multi-fingered dextrous hand is studied. Secondly, as to the shortcomings that the Pareto solution of multi-objective optimization was distributed unevenly in NSGA-II, a non-dominated sorting genetic algorithm based on immune principle is proposed. Lastly, the structural parameter of the medical tooth-arrangement multi-fingered dextrous hand is optimized using the proposed algorithm. The experimental results show that this algorithm can optimize structural parameter of tooth-arrangement multi-fingered dextrous hand very well.



2013 ◽  
Vol 373-375 ◽  
pp. 2136-2142 ◽  
Author(s):  
Rui Fan ◽  
Huan Liu ◽  
Dan Wang

A spatial 3-DOF translational parallel mechanism is analyzed. Its inverse kinematic model is established. The section view of the workspace of the parallel mechanism is presented via boundary search method under the defined constraints. Considering the workspace volume as the optimization object, the relationship between structural parameters and workspace volume is obtained and the structural parameters to be optimized are determined. Finally, the optimization configuration of the mechanism is obtained. The results show that the volume of the workspace increases 1.55 times as much as the original volume, which lay the foundation for the architecture design.





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