Iyad Abu Hadrous

Papers

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About

Iyad Abu Hadrous is a researcher specializing in robotics, intelligent control systems, and computational modeling, with a focused body of work exploring the intersection of advanced control theory and robotic manipulation. His research has made meaningful contributions to the field of robotic arm control, particularly in developing and validating sophisticated control methodologies for multi-degree-of-freedom systems. His most notable work, "Supervisory Fuzzy Control for 5 DOF Robot Arm" (2012), has garnered 6 citations and demonstrates his expertise in applying fuzzy logic frameworks to complex robotic systems, enabling more adaptive and intelligent control strategies. Complementing this, his 2018 study on Modelica-based object-oriented modeling showcased his versatility by employing a PD computed-torque control approach for trajectory tracking in a 2-DOF robotic arm, earning 3 citations. This work highlighted his commitment to rigorous simulation-based validation methodologies. Across his research portfolio, Abu Hadrous consistently bridges theoretical modeling with practical control implementation, contributing foundational tools and techniques that support the ongoing development of more precise and resilient robotic systems — work that remains valuable to students and engineers exploring modern robotics and control engineering.