Research
His research deals with sensing for robots and has included theoretical work on the complexity of robot localization and the development of underwater and amphibious robots. He has worked on the use of topological maps and the complexity of topological mapping, an abstract idealized form of robotics problem. He has also looked at robot position estimation using photographic data, and the automated detection of interesting images.
With his colleagues he produced the first formal proof of the complexity of global robot locaization in a metric environment (i.e. how hard it is, in the worst possible case, for a robot to determine its position if it totally lost).
Gregory has a wide range of research interests that all have the common theme of robotics. He works students in the Mobile Robotics Lab (MRL) at McGill on many problems involving aspects of artificial perception, robot navigation, "hiring secretaries" problem, and recommender systems.
Read more about this topic: Gregory Dudek
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