Frank Dellaert
| Frank Dellaert | |
|---|---|
 |
|
| Born | 1966 Belgium |
| Residence |
 United States |
| Nationality |
 Belgian
|
| Fields | Robotics and Computer Vision |
| Institutions |
Georgia Tech Atlanta Georgia Institute of Technology |
| Alma mater | Carnegie Mellon University |
| Doctoral advisor | Sebastian Thrun and Charles Thorpe |
Frank Dellaert is a Professor in the School of Interactive Computing at the Georgia Institute of Technology. He is also affiliated with the RIM@GT center and is well known for contributions to Robotics and Computer Vision.
Since his first interest in robotics when he was ten Dellaert has attended the Catholic University of Leuven, in Belgium, from 1984 to 1989 and received an academic engineering degree (Burg. Ir.) in Electrical Engineering. He attended the Case Western Reserve University from 1993 to 1995 and received a master's degree in Computer Science and Engineering. In 1995 he began studying at Carnegie Mellon University where he worked as a Research Assistant and received his Ph.D. degree in Computer Science in 2001. In August of that same year, he joined the faculty of Georgia Institute of Technology.
Frank Dellaert holds interests in the areas of robotics and computer vision, including Bayesian inference and Monte Carlo approximations and how to attain efficiency with approximation methods. In 1999, together with his colleagues Dieter Fox, Sebastian Thrun, and Wolfram Burgard, Frank Dellaert helped develop the Monte Carlo localization algorithm, a probabilistic approach to mobile robot localization that is based on the particle filter. His methodologies for estimating and tracking robotic movements have become a standard and popular tool in mobile robotics. Since joining Georgia Tech, he has explored probabilistic model-based reasoning, paired with randomized approximation methods in advanced sequential Monde Carlo methods, Spatio-Temporal Reconstruction from images, and Simultaneous Location and Mapping. While at Tech, he has applied functional programming to robotics research and education, aiming to educate students about how functional languages embody many of the advancements in computer science and how well-suited it can be in that field.
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