Papers
7
Total Citations
83
H-Index
6
About
Fahad Raza is an emerging robotics researcher whose work sits at the intersection of control systems, mobile robotics, and autonomous locomotion, with a particular focus on wheel-legged biped robots. His most influential contribution, "Balance Stability Augmentation for Wheel-Legged Biped Robot Through Arm Acceleration Control" (2021, 27 citations), demonstrated how upper-body arm dynamics could be leveraged to enhance stability in hybrid robotic platforms — a novel departure from the field's traditional emphasis on lower-body mechanics alone. Complementing this, his work on combining feedforward and feedback control strategies (2021, 19 citations) addressed critical real-world modeling uncertainties, advancing the robustness of model-based controllers. Raza has also pushed the frontier of intelligent control, proposing reinforcement learning-based hierarchical frameworks with sim-to-real transfer for path tracking (2022, 11 citations), and developing augmented L1 adaptive control architectures to handle parameter uncertainty in dynamic environments. His earlier disturbance analysis work laid foundational groundwork for assistive fall-prevention systems. With research extending even into autonomous sailboat design, Raza demonstrates a broad command of autonomous systems engineering, accumulating over 80 citations across a focused and rapidly maturing research portfolio.
Research Focus
Key Achievements
Top Papers
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- 4Modeling and Control of a Hybrid Wheeled Legged Robot: Disturbance Analysis11 citations · 2020
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- 6Design and Control of A Hybrid Sailboat for Enhanced Tacking Maneuverv6 citations · 2018
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