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About

Basem E. Elnaghi is a researcher advancing the field of autonomous robotics, with a primary focus on path planning, trajectory tracking, and robust control systems. His work addresses critical challenges in enabling robots to navigate safely and efficiently in dynamic environments, particularly for applications in air transport, search and rescue, and agriculture. Elnaghi’s most cited paper, “ENHANCED HYBRID PATH PLANNING ALGORITHM BASED ON APF AND A-STAR” (2023, 15 citations), introduces a novel hybrid algorithm that combines artificial potential fields with A-star search to improve obstacle avoidance and goal-reaching efficiency. His earlier work, “Trajectory Tracking Control and Robustness Analysis of a Robotic Manipulator using Advanced Control Techniques” (2018, 14 citations), demonstrates his expertise in designing control systems that maintain stability and minimize error under uncertain dynamic models. More recently, Elnaghi has explored innovative optimization methods, as seen in “Path tracking control of differential drive mobile robot based on chaotic-billiards optimization algorithm” (2022), which leverages chaotic dynamics to enhance tracking accuracy during high-speed or heavily loaded operations. With a growing citation record, Elnaghi’s contributions are shaping the next generation of intelligent, resilient robotic systems.