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About

Fady Ibrahim is a robotics researcher specializing in the control and navigation of skid-steering mobile robots (SSMRs)—a class of vehicles critical for off-road and industrial applications. His work centers on overcoming the inherent instability and nonlinear dynamics of these systems, particularly by analyzing the influence of the instantaneous center of rotation (ICR) relative to the robot’s center of mass. Ibrahim’s most cited paper (2019, 23 citations) introduces a path-following algorithm using adaptive discontinuous posture control, leveraging a signed polar transformation to handle the robot’s complex kinematics. He further advanced the field with a discontinuous stabilizing control approach (2018, 10 citations) and a time-varying fuzzy logic controller grounded in Lyapunov stability theory (2016, 2 citations). These contributions provide practical, mathematically rigorous solutions for robust SSMR motion in challenging terrains. Ibrahim’s research is highly relevant for autonomous ground vehicles, offering engineers and students a framework for designing stable, adaptive controllers that address real-world skid-steering challenges.