Design System of Cell Type Assembly Machine with Dual Arms Robot by GA

Authors
Hidehiko [email protected]
Department of Mechanical Engineering, Gifu University, Yanagido 1-1, 1–1, Yanagido, Gifu 501-1194, Japan
Keita Honda
ADVICS Ltd., 2-1, Showa-cho, Kariya, Aichi 448-8688, Japan
Takayoshi [email protected]
Department of Mechanical Engineering, Gifu University, Yanagido 1-1, 1–1, Yanagido, Gifu 501-1194, Japan
Available Online 30 June 2018.
DOI
https://doi.org/10.2991/jrnal.2018.5.1.12
Keywords
genetic algorithm; Unit arrangement decision; Dual arm robot; Assembly machine
Abstract
The purpose of this research is to develop a system named DELUGA which automatically decides by genetic algorithm (GA) where to place a lot of assembled parts, jigs and robot hands in the workstation when designing a cell type assembly machine with a dual arms robot. In DELUGA, since the left and right robot arms simultaneously perform assembly work, adopt the concept of waiting time to prevent interference between the left and right arms. The cycle time from assembly to completion is used as fitness, GA operation is performed, and better arrangement is decided.

Copyright
Copyright © 2018, the Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).

Download article (PDF)