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Category: faculty

Prashant Doshi

Professor
Computer Science
706-542-2911
pdoshi@uga.edu
website

Dr. Prashant Doshi is an associate professor of computer science at UGA. His research expertise is in multiagent systems and specifically in planning and decision making under uncertainty with applications to robotics. Within robotics, Prof. Doshi’s research involves developing novel algorithms for localization and mapping in multi-robot settings and learning behavioral models of robots from observations. Prof. Doshi teaches courses on decision making under uncertainty with course projects involving various robotic platforms available in his lab.

Jason Cantarella

JASON CANTARELLA
Professor
Mathematics
 706-542-2610

I use robotics in teaching the introductory calculus sequence for science and engineering students. The first-semester calculus course is centered on a robot which throws a ball into a cup. Computing when to release the ball in order to land on target requires most of the content of first-semester calculus. The second semester calculus course uses a Bluetooth controlled toy car with an accelerometer and gyro to study integration and error.

My research is in differential geometry. Currently, I’m working on understanding the geometry of the space of polygons (or robot arms) using a symplectic structure on the space in order to prove theorems about random curves and loops in space. This line of research answers some old questions in the statistical physics of polymers.

Suchendra Bhandarka

SUCHENDRA BHANDARKAR

Professor
Computer Science
706-542-1082
suchi@uga.edu
website

My research interests and expertise lie in the areas of Computer Vision and Pattern Recognition. The broader goal of my research is to enable a robot to sense and interpret its environment visually. In other words, given visual input from a variety of sensors or cameras (color, range, sonar, lidar, etc.) my goal is to make it possible for the robot to automaticaly recognize and localize important objects (i.e., landmarks) in its environment, determine and quantify their spatio-temporal relationships and navigate through the environment accordingly. My students and I are actively engaged in the formulation and design of computational models and algorithms for Computer Vision and Pattern Recognition with Autonomous Robotics as one of the primary application areas. I am also interested in applications of Computer Vision and Pattern Recognition in Medical Robotics, in particular, presurgical planning of reconstructive surgery via automated analysis of Computed Tomography (CT) and Magnetic Resonance (MR) images. Other application areas of interest include industrial production planning and optimization, intelligent transportation, biomedical imaging and multimedia systems.