Hamed Al‐Raweshidy
Papers
9
Total Citations
107
H-Index
5
About
Hamed Al-Raweshidy is a researcher whose work spans robotics, control systems, and emerging computational technologies, with particular expertise in intelligent control of mobile robotic systems. His most significant contributions center on the development of adaptive nonlinear controllers for nonholonomic mobile robots, a technically demanding area where conventional control approaches often fall short. His landmark 2012 paper on posture-identifier-based adaptive nonlinear predictive control — his most cited work with 37 citations — exemplifies his innovative fusion of neural networks, predictive modeling, and adaptive control theory to achieve robust trajectory tracking under real-world disturbance conditions. Throughout the early 2010s, Al-Raweshidy produced a productive series of studies refining neural predictive and PID-based frameworks for wheeled mobile robots, collectively forming a coherent and influential body of work in intelligent robotics. His research has since broadened to encompass parallel robot control — captured in a comprehensive 2025 review — as well as practical agricultural robotics and multi-agent systems. Most recently, he has ventured into quantum-enhanced Digital Twin frameworks for IoT-driven healthcare, demonstrating a forward-looking versatility. His cumulative citation impact reflects sustained scholarly recognition across both foundational and applied domains of robotics and intelligent systems.
Research Focus
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Top Papers
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- 9Real-Time Multi-Agent Mobile Robot based on A Client-Server Model2 citations · 2023