Esraa Adnan Hadi
Papers
2
Total Citations
17
H-Index
2
About
Esraa Adnan Hadi is a researcher specializing in mobile robotics and intelligent path planning, with a focus on optimizing autonomous navigation in static environments. Her work centers on comparative studies of metaheuristic algorithms—such as genetic algorithms, particle swarm optimization, and ant colony optimization—to generate collision-free, efficient paths for wheeled mobile robots. In her highly cited 2019 paper, "A Comparative Study of Various Intelligent Algorithms based Path Planning for Mobile Robots" (11 citations), she systematically evaluates multiple algorithms to identify those that best minimize path length while ensuring feasibility. Her subsequent study, "A COMPARATIVE STUDY FOR WHEELED MOBILE ROBOT PATH PLANNING BASED ON MODIFIED INTELLIGENT ALGORITHMS" (6 citations), advances this research by applying modified intelligent algorithms to reduce path lengths further, addressing real-world applications in homes, schools, and hospitals. Hadi’s contributions are pivotal for advancing autonomous robotics, providing foundational benchmarks for algorithm selection in path planning. Her work has been cited by researchers exploring swarm robotics and adaptive navigation, underscoring its impact on practical robotic deployment.
Research Focus
Key Achievements
Top Papers
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