Gregory L. Dudek is a Canadian computer scientist specializing in robotics, computer vision, and intelligent systems. He is a chaired professor at McGill University where he has led the Mobile Robotics Lab since the 1990s (a role now shared with Prof. Dave Meger). He was formerly the director of McGill's school of computer science and before that director of McGill's center for intelligent machines. He holds a position as the VP, Research and Lab Head at the Samsung AI Center, Montreal, serves as Director of the NSERC Canadian Robotics Network, and is a co-founder of tech startup Independent Robotics. During his career, Dudek has co-authored >450 scientific publications on subjects including autonomous navigation, robots that learn, mobile robotics, machine learning, telecommunications, 5G/6G network optimization, robot localization and navigation, information summarization, human-robot interaction, sensor-based robotics, multi-robot systems, computer vision, marine robotics, self-driving vehicles, recognition, RF localization, distributed system design, and biological perception. He has published three books, including a textbook co-authored with Prof. Michael Jenkin on “Computational Principles for Mobile Robotics”. Research and Career Dudek's early career focused on sensing for robots and the theory of the complexity of robot localization, such as path planning and execution and appearance based visualization of so-called "trash can robots". With his colleagues he produced the first formal proof of the complexity of global robot localization 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) and examined the use of WiFi signature mapping for mapping and location estimation long before it was widely known. Other early work addressed issues related to the use of topological maps and the complexity of topological mapping (an abstract idealized form of robotics problem), robot position estimation using photographic data, and the automated detection of interesting images. He also did early work metrically accurate robot positioning, notably using sonar sensors or computer vision, and is the first to use the term "localization" to refer to problem of quantitatively accurate robot position estimation from sensor data. Dudek later transitioned into field robotics, and in particular marine field robotics. This work was inspired, in part, by a desire to help conservationists monitor coral reef health, a seemingly simple yet logistically challenging task. Towards this end, Dudek and colleagues developed an autonomous, amphibious robot named Aqua that can monitor coral reef health. Challenges of building an autonomous