Max Robotics — Global Service Robot Directory + US Certification

About

Mohamad Saad is a robotics and control systems researcher whose work spans flexible manipulators, mobile robotics, and advanced control methodologies. Over two decades of sustained scholarship, he has made significant contributions to the modeling and control of complex robotic systems, earning over 130 cumulative citations across his most recognized publications. Saad's early foundational work focused on flexible link manipulators, where he applied Lagrange-based dynamic modeling to compare State-feedback and Linear Quadratic Regulator strategies, and explored sliding mode control techniques for adaptive, robust performance. His investigations into controllability, observability, and passivity-based approaches for flexible robots established him as a thoughtful contributor to underactuated system control theory. His research expanded into multi-robot coordination, notably developing Lyapunov-based and graph-theoretic frameworks for coordinated path following of non-holonomic mobile robots with quantized communication. More recently, Saad has addressed computational challenges in modern robotics by enhancing Model Predictive Control through Laguerre functions for omnidirectional robot tracking, reflecting his commitment to practical, real-time applicable solutions. His work on hyper-redundant ANAT robots introduced novel hierarchical and distributed control strategies for high-degree-of-freedom systems, bridging theoretical rigor with real-time implementation. Saad's career reflects a coherent, evolving research vision centered on making robotic systems smarter, more adaptive, and more reliable under real-world conditions.