Papers
1
Total Citations
2
H-Index
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About
Abdur Rauf is a researcher whose work sits at the intersection of advanced control systems and robotics, with a particular focus on overcoming the challenges posed by nonlinear dynamics and mechanical imperfections. His key research areas include model predictive control (MPC), robotic manipulator dynamics, and the mitigation of mechanical backlash in automated systems. Rauf’s most notable contribution is his 2020 paper, "Model Predictive Control of 2-Degree of Freedom Robotic Manipulator with Backlash," which presents a novel MPC design for a two-axis serial robotic manipulator. By addressing the nonlinear behavior and control constraints inherent in such systems, his work offers a robust solution for improving precision and stability in real-world robotic applications. While his citation count is currently modest, the foundational nature of this research holds significant potential for future impact in industrial automation and advanced robotics. Rauf’s work is particularly valuable for students and engineers seeking to understand how modern control strategies can be applied to complex, nonlinear mechanical systems, bridging the gap between theoretical control theory and practical robotic implementation.
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Top Papers
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