2004 IEEE Conference on Cybernetic and Intelligent Systems

2004 IEEE Conference on Robotics, Automation and Mechatronics


December 1 to 3, 2004
Traders Hotel, Singapore

 

 

Machine Vision for Robotics, Automation and Mechatronics (MV-RAM)

Kok-Meng Lee
 

Over the last two decades, the rapid advancement of computing, communication, and information technologies has drastically lowered the price of vision sensing systems,  which have a broad spectrum of applications and impacted nearly all phases of our daily life.  Today, modern smart sensors provide the features of a traditional machine vision system at a fraction of the usual price by eliminating the signal-conversion electronics, fixed-frame rates and limited gray-scale quantization.  This talk discusses the past, present and future of machine vision in view of the maturing robotics, automation and mechatronics technologies, specifically with focuses on prototyping machine vision for real-time applications.  We begin with examining problems associated with traditional machine vision systems for cost-effective real-time applications, novel alternative system design to overcome these problems, and the new trends of modern vision sensors.  We also present a physically accurate image synthesis method as a flexible, practical tool for examining a large number of hardware/software configuration combinations for a wide range of parts. Selected examples are given to help illustrate these impacts and yet to cover a wide variety of RAM applications.

 

Biography

Professor Kok-Meng Lee

The George W. Woodruff School of Mechanical Engineering
Georgia Institute of Technology, MARC 474
813 Ferst Drive, NW
Atlanta, GA 30332-0405
http://www.me.gatech.edu/aimrl

 

 

Dr. Kok-Meng Lee received his B. S. degree in mechanical engineering from State University of New York at Buffalo in 1980 and the M.S. and Ph.D. degrees in mechanical engineering from the Massachusetts Institute of Technology in 1982 and 1985, respectively. 

 

He has been with the Georgia Institute of Technology since 1985.  As a Professor of mechanical engineering, his research interests include system dynamics and control, robotics, automation and opto-mechatronics. He holds seven U.S. patents. Dr. Lee has served as an Associate Editor of the IEEE Robotics and Automation Society Magazine from 1994 to 1996, Associate Editor of the IEEE Transactions on Robotics and Automation from 1994 to 1998, and as a Technical Editor of the IEEE/ASME Transactions of Mechatronics from 1995 to 1999.  He has held representative positions within the IEEE Robotics and Automation Society: he has founded and chaired the Technical Committees on Manufacturing Automation (1996 to 1998) and on Prototyping for Robotics and Automation.  He served as Chair or Co-Chair for numerous international conferences.  He has been awarded with a Presidential Young Investigator (PYI) Award, Sigma Xi Junior Faculty Award, International Hall Of Fame New Technology Award, and the Woodruff Faculty Fellow.  He was also recognized as an advisor for six Best Student Paper Awards and a Best Thesis Award.

 

 

 

 

 

 

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