Amna Mazen

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About

Amna Mazen is an emerging researcher in mobile robotics, specializing in trajectory planning and autonomous navigation. Her work focuses on developing optimal kinodynamic trajectory planners that enable robots to navigate unknown environments with efficiency and precision. In her most-cited paper, "Optimal Kinodynamic Trajectory Planner for Mobile Robots in an Unknown Environment Using Bézier Contours" (2024, 4 citations), she introduces a novel approach that leverages Bézier contours to generate smooth, dynamically feasible trajectories, overcoming the limitations of traditional path planners that produce sharp, piecewise linear paths. This contribution addresses a critical challenge in robotics—balancing path smoothness with real-time adaptability in uncertain terrains. Additionally, her research in "Tuning of Robot Navigation Performance Using Factorial Design" (2022, 2 citations) demonstrates a systematic method for optimizing navigation algorithms through statistical design of experiments, offering a framework for enhancing robot performance in diverse operational conditions. Though early in her career, Mazen’s work is gaining recognition for its practical implications in autonomous systems, laying groundwork for more robust and adaptive robotic navigation in complex, real-world environments.