Mohammad Al-Mallah

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About

Dr. Mohammad Al-Mallah is a leading researcher in intelligent robotics and control systems, with a primary focus on autonomous navigation and uncertainty management. His most cited work, "Obstacles Avoidance for Mobile Robot Using Type-2 Fuzzy Logic Controller" (2022, 27 citations), addresses a critical challenge in mobile robotics: enabling robots to reliably navigate dynamic environments by handling both static and dynamic obstacles. By employing a Type-2 fuzzy logic controller on a Robotino® platform from Festo, Dr. Al-Mallah demonstrated a robust approach to path tracking and obstacle avoidance that outperforms traditional methods under real-world uncertainties. This contribution is particularly significant for advancing autonomous systems in industrial and service applications. His research integrates theoretical advances in fuzzy logic with practical robotic implementations, offering scalable solutions for intelligent mobility. With a growing citation impact, Dr. Al-Mallah’s work continues to influence the design of more adaptive and resilient robotic systems, making him a notable figure in the fields of computational intelligence and mechatronics.