Research
Currently, at CSNAP three major projects are underway.
The first project, that CSNAP is involved in is the
tactile imaging sensor project. Often doctors and surgeons rely on their touch sensation to diagnose or identify the diseased regions,
however, palpation as a method of pathology is highly dependent upon the skills of practitioner. A detailed study of
palpation would improve the current medical procedures and new doctor training. Development of a reliable tactile sensing
system would immensely benefit the medical community, but the development of a sensing system that quantifies and displays
the tactile sensation have been inadequately addressed. Perhaps this is due to the complex nature of how the tactile
sensation process. Tactile sensation is a complex process that needs to be addressed as a system. In this project,
we propose to design, build, and test a sensor that will able to image the tactile sensation of an object.
From this image, we obtain the mechanical properties such as elasticity of the contacting as well as embedded objects.
The developed sensory imaging system will efficiently measure, record, and recreate tactile information. The potential
application of the device is in detecting the stone in gall bladder, screening for the possible lumps in the breast, and
localizing the damaged tissues in lungs, among others. Conceptual image of micro-navigation network The second project is focused on the networked
robust navigation
sensor development. In this work
my students and I are developing a small navigation sensor that will work in stressed (e.g. indoors, urban canyoun, cave, etc.) environment. We augment GPS unit with inertial sensors. This project is sponsored by the NSF. The third project is the
statistical control theory
project. Here, we are developing statistical control theory.
In statistical control, we view the cost function as a random variable
and optimize the distribution of the cost function.
This generalizes the classical linear quadratic Gaussian control.
My collaborators and I have already developed the linear version of
statistical control theory; and currently I am working on the nonlinear version.
In this work, I investigate the characteristics of linear statistical control
theory, develop nonlinear statistical control, and study the relations between
statistical control and dynamic game theory.
This work will be a starting point for the nonlinear statistical control
theory development.
My long term goal
is to completely develop—linear, nonlinear, full state feedback, output feedback,
finite time horizon, infinite time horizon—statistical control theory and
apply it to various aerospace applications. This project was
supported by Army Research Office and NSF. Past research activities include
remote
sensing imager development at
Electronic and
Telecommunications Research Institute (ETRI) and the
University of North Dakota. AT ETRI,
Dr. Won was involved in developing a ground control station for remote
sensing satellite. The CSNAP director was involved in two
National Aeronautics and Space Administration (NASA) projects with
UMAC at the University of North
Dakota; Agricultural
Camera (AgCam) and Airborne Environmental Research
Observational Camera (AEROCam).
The objectives of both these projects are to provide farmers and ranchers
with reliable remote sensing data for precision land management.
