Ameer L. Saleh

Papers

Total Citations

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About

Ameer L. Saleh is a researcher specializing in advanced control systems for mobile robotics, with a particular focus on trajectory tracking and path planning. His work centers on developing intelligent, optimized controllers for wheeled mobile robots (WMRs), blending classical control theory with modern computational intelligence. Saleh’s most notable contribution is his pioneering application of Fractional Order PID (FOPID) controllers, optimized using Particle Swarm Optimization (PSO), to achieve superior trajectory tracking accuracy. His highly cited 2018 paper, “Optimal Trajectory Tracking Control for a Wheeled Mobile Robot Using Fractional Order PID Controller,” has garnered 27 citations, establishing a foundation for fractional calculus in mobile robot control. In related work, he designed a Fuzzy Neural Petri Net (FNPN) controller, also optimized with PSO, to solve path planning challenges by generating desired velocity commands. This dual approach—combining fractional-order dynamics with fuzzy neural networks—demonstrates his innovative synthesis of techniques to minimize tracking errors and deviations. Saleh’s research is impactful for students and engineers working on autonomous navigation, offering practical, optimized solutions for real-world robotic systems.