Mahmoud A. Y. Abdallah

University of Sharjah, École de Technologie Supérieure

Papers

Total Citations

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About

Mahmoud A. Y. Abdallah is a robotics researcher specializing in control systems, rehabilitation robotics, and inverse kinematics. His work focuses on enhancing the precision and intelligence of robotic manipulators, particularly for medical and industrial applications. His most cited paper (2019, 6 citations) introduces an Active Disturbance Rejection Control (ADRC) method for serial robot manipulators, enabling robust trajectory tracking by estimating and canceling total disturbances. In a 2023 study (5 citations), he pioneered a deep reinforcement learning controller for upper limb rehabilitation robots, using an actor-critic framework to reduce human supervision and personalize therapy. Another key contribution (2018, 5 citations) applies the FABRIK algorithm to solve inverse kinematics for tracking control, offering a heuristic, iterative approach to parameter estimation. With a growing citation footprint, Abdallah’s research bridges theoretical control methods and practical robotic assistance, advancing autonomous systems in healthcare and automation. His work is particularly relevant for students and researchers exploring intelligent control, human-robot interaction, and adaptive rehabilitation technologies.