Amany Sarhan

Papers

Total Citations

H-Index

About

Amany Sarhan’s research bridges the frontiers of intelligent control systems and immersive augmented reality (AR) technologies. Her primary contributions lie in developing advanced control strategies for robotic manipulators, particularly through the integration of adaptive neural networks and sliding-mode techniques. Her most cited work, “ANFIS-based an adaptive continuous sliding-mode controller for robot manipulators in operational space” (2019, 13 citations), introduces a novel approach to enhance the precision and robustness of robot control in operational space, addressing critical challenges in nonlinear dynamics and uncertainty. She has also pioneered work in AR, with her 2011 survey “Stepping into Augmented Reality” (5 citations) offering a comprehensive roadmap for researchers entering the field, detailing the essential components and ideal characteristics of ultimate AR systems. Additionally, her 2018 paper on a backstepping controller based on an adaptive Elman neural network (2 citations) tackles mismatched uncertainty in underactuated robotic systems, demonstrating her commitment to solving complex nonlinear control problems. Sarhan’s work is characterized by its practical relevance, combining theoretical rigor with real-world applicability in robotics and human-computer interaction.