Authors
Hidehiko Yamamoto1, *, Takahiro Watanabe2, Takayoshi Yamada1
1Department of Mechanical Engineering, Gifu University, 1-1 Yanagido, Gifu
501-1194, Japan
2Mitsubishi Automotive Engineering Co., Ltd., 1 Hashimecho, Okazaki, Aichi
444-8501, Japan
*Corresponding author. Email: [email protected]
Corresponding Author
Hidehiko Yamamoto
Received 6 November 2019, Accepted 30 March 2020, Available Online 2 June
2020.
DOI
https://doi.org/10.2991/jrnal.k.200528.001
Keywords
Genetic algorithm; unit arrangement decision; dual arm robot; assembly
machine
Abstract
The purpose of this research is to compare the production efficiency of
single and double arm robot. This research determines which robot is suitable
for an assembly cell production, a single arm robot or a double arm robot.
First, we develop the system to use a double arm robot to determine the
best parts location by Genetic Algorithm (GA). The system consists of two
modules, the conditions module and GA module. The conditions module reads
work data for robot and sets up various parameters required for GA. The
GA module decides the efficient arrangement place of parts, jigs and robot
hands by GA and outputs the acquired arrangement visual images. Next, we
use a single arm robot at the same parts location and compare the working
time with a double arm robot. Finally, we conclude which robot is suitable
for an assembly cell judging from the results of a total robot working
time.
Copyright
© 2020 The Authors. Published by ALife Robotics Corp. Ltd.
Open Access
This is an open access article distributed under the CC BY-NC 4.0 license
(http://creativecommons.org/licenses/by-nc/4.0/).