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.200528.001How to use a DOI?
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/).