Mohamed Al Marzouqi

Khalifa University of Science and Technology, Monash University

Papers

Total Citations

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About

Mohamed Al Marzouqi is a robotics and autonomous systems researcher whose work centers on mobile robot navigation, path planning, and visual target tracking in complex environments. His research makes meaningful contributions to the challenge of enabling robots to operate intelligently and efficiently in real-world scenarios, including high-stakes situations such as fire-front environments. Among his notable contributions is his work on grid-based path planning, where he advanced beyond conventional polygonal environment representations to enable more detailed and accurate obstacle modeling — a practical improvement for real-world robot deployment. His 2005 work on robot path planning in high-risk fire environments introduced cost structures rooted in covert robotics principles, incorporating visibility constraints into navigation strategies rather than optimizing purely for distance or energy. This represents a meaningful shift in how path planning accounts for environmental awareness and safety. Al Marzouqi also contributed to probabilistic target tracking, developing a distance transform-based Gaussian distribution method that allows mobile robots to continuously monitor unpredictably moving targets in cluttered spaces — a critical capability for surveillance and search-and-rescue applications. While his citation counts remain modest, his research addresses foundational and applied problems that continue to grow in relevance as autonomous robotics expands into emergency response and intelligent navigation domains.