Volume 5, Issue 1, June 2018, Pages 52 - 55
Design System of Cell Type Assembly Machine with Dual Arms Robot by GA
Authors
Hidehiko Yamamotoyam-h@gifu-u.ac.jp
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 Yamadayamat@gifu-u.ac.jp
Department of Mechanical Engineering, Gifu University, Yanagido 1-1, 1–1, Yanagido, Gifu 501-1194, Japan
Available Online 30 June 2018.
- DOI
- 10.2991/jrnal.2018.5.1.12How to use a DOI?
- 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 Atlantis Press.
- Open Access
- This is an open access article under the CC BY-NC license (http://creativecommons.org/licences/by-nc/4.0/).
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TY - JOUR AU - Hidehiko Yamamoto AU - Keita Honda AU - Takayoshi Yamada PY - 2018 DA - 2018/06/30 TI - Design System of Cell Type Assembly Machine with Dual Arms Robot by GA JO - Journal of Robotics, Networking and Artificial Life SP - 52 EP - 55 VL - 5 IS - 1 SN - 2352-6386 UR - https://doi.org/10.2991/jrnal.2018.5.1.12 DO - 10.2991/jrnal.2018.5.1.12 ID - Yamamoto2018 ER -