Yehia A. Eldrainy

Papers

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About

Dr. Yehia A. Eldrainy is a researcher specializing in robotics, fuzzy control systems, and industrial automation, with a particular focus on precision manipulation and inspection technologies. His major contribution lies in developing innovative strategies for robotic manipulator inverse kinematics, as demonstrated in his highly cited 2021 work, "Uncertainty solution of robot parameters using fuzzy position control applied for an automotive cracked exhaust system inspection." This paper, which has garnered 7 citations, introduces a novel approach that senses end-effector position errors via an IP camera-based observational error model and resolves joint variable errors using dual fuzzy control techniques. The work is notable for its practical application in automotive quality assurance—specifically, inspecting cracked exhaust systems—showcasing Eldrainy's ability to bridge theoretical control methods with real-world industrial challenges. His research advances the field of intelligent robotics by addressing uncertainty in parameter estimation, offering more reliable and adaptive solutions for automated inspection tasks. Eldrainy's contributions are particularly valuable for students and researchers exploring fuzzy logic applications in robotics, as his work provides a clear framework for integrating sensory feedback with adaptive control to enhance precision in complex manufacturing environments.