About

Gregory Dudek is a pioneering figure in mobile robotics and autonomous systems, whose work spans robot exploration, multi-agent collaboration, and amphibious robotics. His widely adopted textbook, *Computational Principles of Mobile Robotics* (2010), has become a cornerstone resource for students and researchers alike, accumulating over 650 citations as a testament to its enduring educational value. Dudek's early work on robotic exploration as graph construction (1991, 282 citations) established foundational algorithms for navigating unknown environments without relying on geometric metrics — a conceptually elegant and practically influential contribution. His taxonomic frameworks for multi-agent and swarm robotics (1996, 402 citations; 2002, 139 citations) helped systematize a rapidly growing field, giving researchers a shared vocabulary for classifying robot collectives. Collaborative exploration and localization work throughout the late 1990s and early 2000s demonstrated rigorous analysis of how multiple robots can reduce uncertainty and improve efficiency together. His development of AQUA (2007, 241 citations), a leg-propelled amphibious robot capable of underwater and surface navigation, showcases his talent for translating theoretical insight into innovative hardware. More recently, his OPTIMo trust-inference model (2015) reflects a sophisticated engagement with human-robot interaction, broadening his impact across disciplines.

Research Focus

Key Achievements

41
H-Index
204
Papers
6,769
Total Citations
33
Avg Citations/Paper
🏆 Most Cited Paper
Computational Principles of Mobile Robotics
654 citations · 2010
📈 Most Prolific Year: 2002 (21 Papers)
🤝 Key Collaborators: 144
🏛 Institutions: McGill University, Intelligent Machines (Sweden), Intelligent Systems Research (United States), McGill University Health Centre, University of Toronto, The University of Osaka

Top Papers

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    OPTIMo
    145 citations · 2015
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    A taxonomy for swarm robots
    139 citations · 2002

Key Collaborators

Contact & Links

Available for collaboration
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