Selection System of Robot Type for Cell Assembly Production (Production Efficiency Comparison of Single and Double Arm Robot)

• Main Authors: Hidehiko Yamamoto, Takahiro Watanabe, Takayoshi Yamada
• Format: Article
• Language: English
• Published: Atlantis Press 2020-06-01
• Series: Journal of Robotics, Networking and Artificial Life (JRNAL)
• Subjects: Genetic algorithm; unit arrangement decision; dual arm robot; assembly machine
• Online Access: https://www.atlantis-press.com/article/125941072/view

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.