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 Invited Talk I High Speed Three Dimensional Imaging Using Optical Interferometry
 Name Prof. Seung-Woo Kim
 Affiliation KAIST, Korea
 Abstract Automation requires three-dimensional (3-D) imaging for various purposes such as autonomous objects recognition, navigation, and inspection. In response to the demands, diverse 3-D imaging principles have been investigated during last two decades and, as results, many noble techniques are nowadays available with distinct advantages and drawbacks. The optical interferometry is one of the 3-D imaging principles, which has made a remarkable advance and still has great potential for further improvements. In this talk, a historical perspective of the development of the optical interferometry for 3-D imaging is presented. In addition, detailed opto-mechatronic principles are explained about various techniques of optical interferometry together with outstanding industrial applications.

 Invited Talk II Micro and Nano Robotics for Biotechnology
 Name Prof. Fumihito Arai
 Affiliation Nagoya Univ., Japan
 Abstract Several robotic technologies, such as manipulation of microscopic objects, sensing and actuation elements, for Biotechnology will be introduced. At first, manipulation methods of microscopic objects in liquid are classified and briefly reviewed. Mechanical manipulation, non-contact manipulation using laser trap or dielectrophoresis, and self-assembly of the microscopic objects are introduced. Advantages of the non-contact micromanipulation are shown for BioMEMS applications. Finally I will introduce the application example of these methods to the selective separation of the microorganisms or cells with the micro-chip fabrication technology.

 Invited Talk III Applied Predictive Control
 Name Prof. Tong Heng Lee
 Affiliation National Univ. of Singapore, Singapore
Abstract The presence of considerable time-delays in the dynamics of many industrial processes, leading to difficult problems in the associated closed-loop control systems, is a well-recognized phenomenon. The performance achievable in conventional feedback control systems can be significantly degraded if an industrial process has a relatively large time-delay compared with the dominant time constant. Under these circumstances, advanced predictive control is necessary to improve the performance of the control system significantly. This talk will present a focused development on this subject, including the fundamentals and some state-of-the-art developments in the field of predictive control. Three main schemes for advanced predictive control are addressed in the talk:
* Smith Predictive Control,
* Generalized Predictive Control,
* A novel form of predictive control based on Finite Spectrum Assignment.
A substantial part of the talk will address applications issues in predictive control, and provide several interesting case studies.

 Invited Talk IV Simulation and Dynamic Programming Based Framework for Scheduling and
Control of Complex Uncertain Systems
 Name Prof. Jay H. Lee
 Affiliation Georgia Institute of Technology, USA
 Abstract In this talk, I will present a framework for combining simulation data and dynamic programming to identify the 'cost-to-go' function, which can be used for efficient on-line decision making. We argue that the framework is attractive for planning, scheduling and control applications involving complex uncertain systems. Several theoretical and computational issues are brought forward within this framework. They include issues such as choice of approximator (neural network vs. local regression), improvement of a cost-to-go approximation through value or policy iteration, safeguarding against over-extrapolation by defining "risk", and guarded exploration in order to expand the domain of approximation in a gradual manner. I will also present the results of some initial applications in several scheduling and control problems.



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