Journal of Shanghai Jiaotong University
• Automation Technique, Computer Technology • Previous Articles Next Articles
XIANG Bin-bin1,CHEN Wei-dong1,QI Li-wei2,ZHANG Dan-dan2
Received:
Revised:
Online:
Published:
Contact:
Abstract: This paper proposed a robot workcell layout optimization method based on genetic algorithm. This method applies engineer’s experience and knowledge in robotic manufacturing system to the description of geometric and kinematic restrictions, thus reduces search space, improves the computational efficiency and makes the layout meet the industrial requirements better. The method has been embedded in commercial robot programming and simulating software, and used successfully in layout design. A diecast application case validates the effectiveness of the method.
CLC Number:
TP 242.2
XIANG Bin-bin1,CHEN Wei-dong1,QI Li-wei2,ZHANG Dan-dan2. Robot Workcell Layout Optimization Based on Genetic Algorithm[J]. Journal of Shanghai Jiaotong University.
0 / / Recommend
Add to citation manager EndNote|Ris|BibTeX
URL: https://xuebao.sjtu.edu.cn/EN/
https://xuebao.sjtu.edu.cn/EN/Y2008/V42/I10/1697