Portrait of Professor Gregory Dudek
Professor · Distinguished James McGill Chair

Gregory Dudek

Professor at McGill University's School of Computer Science and Associate Member in Electrical and Computer Engineering. IEEE Fellow, member of Mila (Quebec AI Institute), research director, roboticist, and builder of autonomous systems that learn from the world.

Mobile robotics Computer vision Machine learning Marine robotics Human-robot interaction 5G/6G optimization IEEE Fellow Mila

Research Areas

Centre for Intelligent Machines

Autonomous navigation, robots that learn, foundation models for robotics, mobile robotics, machine learning, telecommunications and 5G/6G network optimization, robot localization, information summarization, human-robot interaction, sensor-based and multi-robot systems, computer vision, marine robotics, self-driving vehicles, and recognition.

Localization Sensor fusion Exploration Multi-agent AI for robotics

Mobile Robotics Lab

Research Director

McGill's Mobile Robotics Lab designs novel field and marine robots, creates learning-based controllers, and studies how robots interpret and explore their environments.

Explore ongoing projects, student work, and publications at cim.mcgill.ca/~mrl.

Contact

Email (human-friendly): gregory.dudek [at] mcgill [dot] ca
PGP public key: available here.

Affiliations: Centre for Intelligent Machines; Mila (Quebec AI Institute); IEEE Fellow.

Office

Centre for Intelligent Machines
McGill University
McConnell Engineering Building, Room 440
3480 University Street
Montreal, QC, Canada H3A 2A7

Publications

Full, up-to-date list: publications by topic.

Selected publications across my career+

A cross-section of selected publications across my career. A more comprehensive and current list (with on-line versions) is the publication list by topic; see also the (less current) Mobile Robotics Lab publications page.

Talks & Media

Video highlights+

Teaching

COMP-599 (Winter 2025) — Topics in Robotics and AI
A graduate seminar on advanced methods in mobile robotics, perception, and learning.