Khaled Aljaloud

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About

Dr. Khaled Aljaloud is a prominent researcher in robotics and autonomous navigation, with a particular focus on vision-based control systems for mobile robots. His most cited work, "Vision Navigation Based PID Control for Line Tracking Robot" (2022, 27 citations), addresses a fundamental challenge in indoor robotics: reliable, low-cost navigation. Dr. Aljaloud’s key contribution lies in integrating vision sensors with PID control algorithms to enable robots to accurately detect and follow painted paths on floors, a practical solution for automated guided vehicles in warehouses, factories, and domestic settings. By optimizing the balance between sensor feedback and control response, his research enhances robot stability and precision in controlled environments. Beyond this flagship paper, his broader work explores sensor fusion and real-time control strategies, contributing to the development of more autonomous and adaptable robotic systems. With a growing citation record, Dr. Aljaloud’s research is shaping the next generation of cost-effective, vision-guided mobile robots, making him a notable figure in applied robotics and control engineering.