Zahra Nili Ahmadabadi

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About

Zahra Nili Ahmadabadi is a leading researcher in autonomous robotics, specializing in chaotic path planning and coverage path planning (CPP) for mobile robots. Her work focuses on developing algorithms that generate unpredictable yet efficient trajectories for surveillance and exploration in unknown environments. Her major contributions include pioneering multi-system chaotic path planners that balance randomness with coverage completeness, enabling robots to search terrains effectively while remaining unpredictable to adversarial agents. Her most-cited paper, "A Multi-System Chaotic Path Planner for Fast and Unpredictable Online Coverage of Terrains" (2020, 21 citations), demonstrates how chaotic dynamical systems can be harnessed for real-time, adaptive navigation. She further advanced the field with a comprehensive review in "Chaotic Motion Planning for Mobile Robots: Progress, Challenges, and Opportunities" (2023, 18 citations), which maps the state of the art and identifies key research directions. Her work on online search of unknown terrains using dynamical systems (2022, 7 citations) extends these principles to real-world applications. With over 46 citations across her top papers, Ahmadabadi is shaping the future of secure, autonomous exploration—critical for defense, disaster response, and environmental monitoring.