Rowida Meligy

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About

Rowida Meligy is a researcher in robotics and control systems, with a focus on enhancing the motion and efficiency of robotic manipulators. Her work centers on the intersection of trajectory optimization and intelligent control, aiming to solve fundamental challenges in robot motion planning and execution. A key contribution is her development of a systematic design for a decentralized Fuzzy-PD controller for robot arms, which improves upon traditional linear controllers like PD and PID by integrating fuzzy logic to better handle complex, nonlinear dynamics. This work, cited 3 times, demonstrates her ability to refine established control methods for greater adaptability. Additionally, Meligy has advanced the field of optimal motion planning by proposing a feasible method for generating minimum-time trajectories for robot manipulators, a paper with 2 citations that addresses the critical need for efficient path planning that respects kinematic and dynamic constraints. Her research provides practical, implementable solutions that bridge theoretical control design with real-world robotic applications, making her contributions valuable for engineers and researchers seeking to enhance robotic autonomy and performance.