Yehia A. El-Mashad

Papers

Total Citations

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About

Yehia A. El-Mashad is a researcher whose work sits at the intersection of biomedical signal processing and robotic control, with a particular focus on human–machine interaction. His most cited paper, "Control and modeling a robot arm via EMG and flex signals" (2014), demonstrates a novel approach to controlling a five-degree-of-freedom robotic arm by interpreting electromyography (EMG) signals from human arm muscles alongside flex sensor data. This work enables intuitive, muscle-driven commands for hand grasp and release, as well as elbow and wrist movements. With 7 citations, the paper has provided a foundational framework for integrating physiological signals into robotic systems, contributing to the development of assistive technologies and prosthetics. El-Mashad’s research advances the field of bio-robotics by bridging the gap between human intent and machine action, offering practical pathways for more natural and responsive control interfaces. His contributions are particularly relevant for students and researchers exploring non-invasive control methods in rehabilitation engineering and humanoid robotics.