Max Robotics — Global Service Robot Directory + US Certification

About

Iyad M. Abuhadrous is a robotics and control systems researcher whose work centers on robot arm modeling, intelligent control strategies, and autonomous robot navigation. He is perhaps best known for his foundational contributions to educational robotics, particularly his widely cited 2010 study on modeling and simulation of a 5 degrees-of-freedom (DOF) robot arm, which addressed the critical challenge of providing cost-effective training alternatives for institutions unable to afford expensive robotic equipment — a paper that has garnered 42 citations and remains a valuable resource in academic robotics curricula. Abuhadrous has made significant contributions to robot manipulator control, investigating the comparative performance of Proportional-Integral-Derivative (PID) controllers and Fuzzy Logic Controllers (FLC), as well as pioneering supervisory control approaches that intelligently combine both methods to handle the inherent nonlinearity of robotic systems. His comparative analyses have helped researchers and engineers make more informed decisions when designing robust control architectures. More recently, his research has extended into mobile robotics, with a 2023 paper proposing an improved sampling-based Dijkstra algorithm for efficient, collision-free robot path planning. Across his career, Abuhadrous has built a consistent body of work bridging theoretical modeling and practical robotics applications, making his research particularly valuable for students and engineers entering the field.