Parastoo Ebrahimi

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About

Parastoo Ebrahimi is a robotics and control systems researcher whose work focuses on enhancing precision in industrial automation through intelligent control strategies. Her most cited research, "Design of a Genetic based Optimized Fuzzy Logic Controller for Enhanced Trajectory Tracking Accuracy of a 3P Robot" (2022, 13 citations), addresses the critical challenge of robot positioning precision by comparing three distinct control approaches: position PID (P-PID), position and velocity PID (PV-PID), and a genetic algorithm-optimized fuzzy logic controller (GA-FLC). This work demonstrates her expertise in combining evolutionary computation with fuzzy logic to achieve superior trajectory tracking accuracy. Ebrahimi’s contributions lie at the intersection of optimization algorithms and adaptive control systems, offering practical solutions for improving robotic performance in manufacturing and assembly lines. Her research has garnered attention for its systematic methodology and potential to reduce errors in high-precision tasks. By integrating genetic algorithms with fuzzy logic control, she has advanced the field of intelligent automation, providing a framework that balances computational efficiency with real-time adaptability. Her work continues to influence the development of more robust and accurate robotic systems in industrial settings.