Papers
4
Total Citations
23
H-Index
3
About
Arshad Rauf is a control systems researcher specializing in advanced robotics and autonomous systems, with a particular focus on robust and adaptive control strategies for robotic manipulators and mobile robots. His work consistently tackles one of the most challenging problems in robotics engineering: achieving precise trajectory tracking in the presence of real-world imperfections such as input deadzone nonlinearities, external disturbances, and internal system uncertainties. Rauf's most significant contributions lie in the development of sophisticated control frameworks, including continuous non-singular terminal sliding mode control and finite-time integral sliding mode methodologies, designed to deliver reliable, high-performance manipulation under demanding conditions. His 2024 paper on adaptive control for robotic manipulators has already garnered 10 citations, while his 2022 finite-time robust control study has attracted 8 citations — reflecting meaningful early-career impact within the robotics control community. His earlier work on stabilizing nonholonomic wheeled mobile robots using adaptive integral sliding mode control demonstrates a broader interest in autonomous ground systems. Collectively, Rauf's research addresses critical gaps between theoretical control design and practical industrial deployment, making his contributions particularly valuable for researchers and engineers developing next-generation automation and robotics systems.
Research Focus
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