Romany F. Mansour

Papers

Total Citations

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About

Romany F. Mansour is a pioneering researcher in human-robot interaction (HRI) and intelligent control systems, with a focus on bridging the gap between biological signals and robotic interfaces. His most cited work, "Recognition of Hand Gesture Using Electromyography Signal: Human-Robot Interaction" (2022), demonstrates a novel approach to decoding electromyography (EMG) signals through machine learning, enabling intuitive, non-verbal robot control. This contribution is critical for advancing assistive technologies and prosthetic development, where natural gesture recognition enhances user autonomy. With 4 citations in its early stage, the paper signals growing interest in his integration of big data analytics with biomedical signal processing. Mansour’s research further explores adaptive control algorithms and sensor fusion, aiming to create responsive, human-aware robotic systems. His work stands at the intersection of computational intelligence and biomechanics, offering practical solutions for rehabilitation and industrial automation. As a rising voice in HRI, Mansour’s interdisciplinary approach promises to redefine how humans and machines collaborate, making him a key figure to watch in the evolving landscape of intelligent robotics.