Gregory Dudek is an Associate Professor with the School of Computer Science and a member of the McGill Research Centre for Intelligent Machines (CIM) and an Associate member of the Dept. of Electrical Engineering at McGill University. In 2002 he was named a William Dawson Scholar. He directs the McGill Mobile Robotics Laboratory.

In his lab, Greg's team has been exploring sensor-based robotics, and in particular, the use of computer vision techniques for robot navigation. In his talk Greg will describe some key problems in mobile robotics and how they can be addressed using image data. In particular, he will discuss how we can use image-based models to allow a robot to estimate its position. At the conclusion, he will illustrate a graphics-based approach to robot path planning.

Greg was on leave in 2000-2001 as Visiting Associate Professor at the Department of Computer Science at Stanford University and at Xerox Palo Alto Research Center (PARC). He obtained his PhD in computer science (computational vision) from the University of Toronto, his MSc in computer science (systems) at the University of Toronto and his BSc in computer science and physics at Queen's University.

He has published over 140 research papers on subjects including visual object description and recognition, robotic navigation and map construction, distributed system design and biological perception. This includes a book entitled "Computational Principles of Mobile Robotics" co-authored with Michael Jenkin and published by Cambridge University Press. He has chaired and been otherwise involved in a number of Conferences and professional activities concerned with Robotics, Machine Sensing and Computer Vision. He research interests include perception for mobile robotics, navigation and position estimation, environment and shape modelling and computational vision.