Nailah Al–Madi

Princess Sumaya University for Technology

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About

Dr. Nailah Al-Madi is a leading researcher in robotics and artificial intelligence, with a primary focus on multi-robot systems, path planning, and obstacle avoidance. Her most cited work, "PSO-AG: A Multi-Robot Path Planning and Obstacle Avoidance Algorithm" (2015, 7 citations), introduces a pioneering hybrid approach that combines Particle Swarm Optimization with an adaptive guidance mechanism. This algorithm addresses one of the most critical challenges in robotics: enabling multiple robots to navigate complex, dynamic environments while avoiding collisions and efficiently reaching their targets. Dr. Al-Madi’s contributions have significantly advanced the field of online path planning, providing robust solutions for real-time robot coordination. Her research is particularly impactful for applications in autonomous exploration, warehouse logistics, and search-and-rescue operations. By tackling the intricate interplay of constraints—such as robot kinematics, environmental obstacles, and inter-robot communication—she has laid the groundwork for more intelligent and adaptive robotic systems. Dr. Al-Madi’s work continues to inspire new generations of researchers in autonomous navigation and swarm robotics.