Walaaeldin Ghadiry

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About

Walaaeldin Ghadiry is a robotics and autonomous systems researcher whose work centers on trajectory optimization, multi-robot coordination, and path planning for autonomous vehicles. His research addresses some of the most computationally demanding challenges in robotic patrolling, particularly the problem of efficiently routing multiple robots across a set of target viewpoints under real-world constraints. Ghadiry's most cited contribution, "Optimal Path Tracking With Dubins' Vehicles" (2020, 8 citations), tackles the non-trivial problem of navigating vehicles with strict kinematic limitations — including minimum turning radii and the inability to reverse — along curvature-bounded planar paths. This work advances practical deployment of autonomous aerial and ground vehicles in surveillance and patrolling applications. His earlier work on time-efficient trajectory optimization (2016, 4 citations) introduced novel formulations for minimizing patrol time when robot starting depots are unspecified, offering greater flexibility for real-world deployments. His 2019 paper (3 citations) further generalized these frameworks, relaxing traditional assumptions about the number of robots and depot configurations. Collectively, Ghadiry's research provides foundational tools for designing smarter, more adaptable multi-robot patrolling systems, making his work valuable to researchers in autonomous navigation, operations research, and mobile robotics.