Sherif Sherif

Papers

Total Citations

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About

Sherif Sherif is a robotics researcher whose work centers on the modeling, control, and locomotion of humanoid and wheeled robotic systems. His primary contributions lie in the dynamic analysis and embedded control of bipedal walking robots, where he has developed linear regression models to characterize walking dynamics and implemented real-time walking algorithms on low-cost hardware platforms like the Arduino Mega 2560. Sherif’s research addresses the challenge of achieving stable, coordinated motion in robots with multiple degrees of freedom, including a 17-DOF humanoid, by planning joint coordination sequences and deploying embedded control systems. In addition to bipedal locomotion, he has explored multi-output system identification and Linear-Quadratic Gaussian (LQG) control for two-wheeled robots, advancing hardware-in-the-loop simulation techniques. His most cited work, “Identification of Humanoid Biped Robot During Walking with Linear Regression Models” (5 citations), demonstrates his focus on bridging theoretical control methods with practical implementation. Sherif’s research is particularly valuable for students and engineers interested in affordable, accessible robotics platforms and the integration of system identification with embedded control for autonomous locomotion.