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About

Khulood E. Dagher is an accomplished researcher specializing in mobile robotics, intelligent control systems, and autonomous navigation. Her work sits at the intersection of artificial intelligence and robotics engineering, with a particular focus on developing sophisticated control methodologies that enable wheeled mobile robots to navigate complex environments with precision and adaptability. Dagher's most influential contribution, her 2014 paper on nonlinear PID neural trajectory tracking — garnering 25 citations — introduced a particle swarm optimization (PSO)-tuned neural controller that significantly advanced trajectory tracking performance for non-holonomic mobile robots. This foundational work established a framework she continued to refine, later incorporating adaptive artificial neural networks with evolutionary genetic algorithms to enhance real-time obstacle avoidance, as demonstrated in her 2022 research. Her investigations into cognitive path planning, particularly the circular roadmap method combined with PSO-based optimization, further distinguished her contributions to autonomous navigation and intelligent algorithm design. Across her body of work, accumulating over 54 citations, Dagher has consistently pushed the boundaries of intelligent robotic control, blending computational intelligence with practical engineering applications. Her comparative studies of modified path-planning algorithms reflect a commitment to advancing reliable, real-world robotic systems — making her research a valuable resource for students and engineers working in autonomous systems and AI-driven robotics.