Nouralddeen A. Meelad
Papers
1
Total Citations
3
H-Index
1
About
Nouralddeen A. Meelad is a robotics and control systems researcher whose work centers on the modeling, stabilization, and autonomous control of two-wheeled self-balancing robots. His most cited paper, “Modeling and Control of Two Wheels Robot Using Linear Quadratic Regulators” (2021), has garnered 3 citations and addresses a fundamental challenge in mobile robotics: the inverted pendulum problem. In this work, Meelad designed and built a physical two-wheeled robot, developed its dynamic model, and implemented a Linear Quadratic Regulator (LQR) controller using an Arduino Uno board paired with an Inertial Measurement Unit (IMU). His contribution lies in bridging theoretical control theory with practical embedded system implementation, demonstrating how LQR can achieve stable balancing and trajectory tracking in real-time. This research has direct applications in industrial automation, healthcare assistive devices, and service robotics. Meelad’s work reflects a hands-on, systems-level approach to robotics—combining mechanical design, sensor integration, and optimal control—making his findings valuable for students and engineers developing low-cost, self-balancing platforms. His focus on accessible hardware (Arduino) and proven control methods positions him as a practical innovator in the field of mobile robotics.
Research Focus
Key Achievements
Top Papers
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