Duaa Jaafar Fadhil

Papers

Total Citations

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About

Duaa Jaafar Fadhil is a researcher specializing in robotics and computational intelligence, with a particular focus on autonomous navigation and optimization algorithms. Her most cited work, "Mobile Robot Path Planning Method Using Firefly Algorithm for 3D Sphere Dynamic & Partially Known Environment" (2018), introduces a novel approach to solving complex path planning challenges. By adapting the Firefly Algorithm for dynamic, partially known three-dimensional environments, Fadhil successfully demonstrates how bio-inspired optimization can generate near-optimal, collision-free trajectories for mobile robots in real-time. This contribution is significant for advancing autonomous systems in unpredictable settings, such as aerial drones or underwater vehicles. Though her citation count is still growing—with this paper garnering 3 citations—her work represents a meaningful step in integrating swarm intelligence with robotics. Fadhil’s research bridges the gap between theoretical optimization and practical robotic applications, offering a foundation for future studies in adaptive navigation. Her efforts highlight the potential of nature-inspired algorithms to solve real-world engineering problems, making her a promising voice in the field of intelligent robotics.