Papers
2
Total Citations
17
H-Index
2
About
M.A. Jarrah is a robotics and control systems researcher whose work bridges theoretical innovation with real-world deployment. His primary research areas include autonomous systems, nonlinear control design, and robotic manipulation. Jarrah’s most impactful contribution is the development of an autonomous cleaning system for Dubai International Airport (2009, 11 citations), a pioneering application of mobile robotics in large-scale infrastructure that demonstrated the feasibility of autonomous maintenance in high-traffic environments. Earlier, he introduced a novel approach for position control of robot manipulators using continuous gain scheduling (2003, 6 citations), where he proposed fitting a set of linear quadratic regulator (LQR) gains to continuous functions of system states via Taylor series expansion. This method offered a practical solution for designing controllers for nonlinear systems, enabling smoother and more adaptive control without the computational burden of traditional nonlinear techniques. While his citation counts reflect a focused, application-driven career, Jarrah’s work stands out for its direct impact on industrial automation and smart city initiatives. His airport cleaning system remains a landmark case study in autonomous service robotics, showcasing how theoretical control advances can be translated into tangible, large-scale solutions.
Research Focus
Key Achievements
Top Papers
- 1Autonomous cleaning system for Dubai International Airport11 citations · 2009
- 2Position control of a robot manipulator using continuous gain scheduling6 citations · 2003