Papers
6
Total Citations
86
H-Index
4
About
Gamal Elghazaly is a robotics and control systems researcher whose work spans advanced manipulation, underwater robotics, and autonomous driving. His most influential contribution lies in the domain of cable-driven parallel robots, most notably his 2014 work on adaptive terminal sliding mode control applied to the CoGiRo manipulator, which has accumulated 48 citations and remains a landmark reference in redundantly-actuated cable-driven systems. Building on this foundation, Elghazaly pioneered the integration of cables into underwater vehicle-manipulator systems, proposing hybrid cable-thruster actuation to significantly enhance force capabilities beyond what conventional thrusters alone can achieve. His earlier work in fuzzy logic control demonstrated expertise in adaptive control strategies for nonlinear MIMO systems, providing a theoretical backbone for his applied robotics research. More recently, Elghazaly has expanded his focus toward autonomous driving, developing real-time motion planning frameworks using Model Predictive Path Integral (MPPI) approaches to navigate the complex, constraint-rich environments encountered in autonomous systems. Across his career, his research reflects a consistent drive to push the boundaries of actuation, control, and intelligent planning in challenging robotic applications.
Research Focus
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