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About

Farah Ayad Abdulmajeed is a rising researcher in advanced robotics and nonlinear control systems, with a focus on sliding mode control and its variants for complex robotic platforms. Her work addresses critical challenges in motion stabilization, trajectory tracking, and disturbance rejection for both industrial manipulators and mobile robots. Her most cited paper, "Sliding Mode Control of the PUMA 560 Robot" (2023, 13 citations), demonstrates the effectiveness of sliding mode control on a three-dimensional robotic manipulator, providing a robust framework for handling system uncertainties. She further advances the field with "Algorithmic Design of Block Backstepping Motion and Stabilization Control for Segway Mobile Robot" (2023, 10 citations), showcasing innovative control strategies for non-holonomic systems. Her research also explores fractional-order fixed-time integral terminal sliding mode control for Euler-Lagrange systems, pushing the boundaries of precision and speed in control theory. With a growing citation record and a focus on practical, real-world applications, Abdulmajeed’s contributions are shaping the next generation of intelligent, resilient robotic systems.