Automation of cell production system for cellular phones using dual-arm robots

Journal Reference

The International Journal of Advanced Manufacturing Technology, pp 1-12, First online: 12 August 2015.

Hyun Min Do Tae-Yong ChoiJin Ho Kyung

Department of Robotics and Mechatronics, Advanced Manufacturing Systems Research Division, Korea Institute of Machinery and Materials, 156 Gajeongbukno, Yuseong-gu, Daejeon, 305-343, Korea. 

Abstract

The demands placed on automation of cell production processes for IT products are becoming increasingly sophisticated. Dual-arm robots are drawing particular attention as a process solution because they offer flexibility and can work in a similar manner to a human operator. In this paper, we propose an automation system for cellular phone packing processes that uses two dual-arm robots. The applied robots are designed with specifications that meet the requirements of the cellular phone packing tasks. In addition, a robotic cell production system is proposed that applies a task allocation method to perform an efficient packing job for cellular phones. In particular, each task is assigned with the intention of reducing the takt time , which is the time taken to finish a single product in the production line and to avoid collisions between the two robots. Finally, we implement some of our results in a demonstration of a packing job that involves filling five unit boxes with seven kinds of accessories.

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About the author

Hyun Min Do received his B.S. and M.S. and Ph.D. degrees in the School of Electrical Engineering from Seoul National University, Seoul, Korea, in 1997, 1999, and 2004, respectively. From 2004 to 2006, he was with the Hyundai Mobis, Korea and from 2006 to 2007, he was with the Hyundai Motor Company, Korea, where he was a Senior Research Engineer. From 2007 to 2010, he was with the National Institute of Advanced Industrial Science and Technology (AIST), Japan, where he was a Postdoctoral Research Fellow. In 2010, he joined the Korea Institute of Machinery and Materials (KIMM), where he is a Senior Researcher of Department of Robotics and Mechatronics. His research interests are intelligent control of robotic system, robot safety and adaptive and learning control.

 

About the author

Tae-Yong Choi received the B.S. degree in Electronic and Electrical Engineering from Pohang University of Science and Technology (POSTECH), Pohang, Korea, in 2003, and the Ph.D. degree in Electrical Engineering from Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Korea, in 2010. He was a senior engineer at the Samsung Electronics, Korea, in 2010. He has been working for Korea Institute of Machinery and Materials (KIMM), Korea, since 2011. His current research interests include safe robot, robotics, machine vision and machine learning. 

About the author

 Jin Ho Kyung received his B.S. and M.S. degrees in Mechanical Engineering from Korea Aerospace University and KAIST in 1985 and 1988, respectively. He was awarded his Ph.D. degree from KAIST in 2003. He is currently a Principal Researcher at Dept. of Robotics and Mechatronics at Korea Institute of Machinery and Materials, and he has served as a head of Robot team. His research interests include the design and control of robotic systems, and manipulation technology for human-robot cooperation.

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