Papers
1
Total Citations
6
H-Index
1
About
Aqib Othman is a robotics and control systems researcher whose work focuses on advancing precision and adaptability in autonomous mechanical systems. His key research areas include intelligent control theory, nonlinear system dynamics, and the application of soft computing techniques to robotic manipulators. Othman’s most notable contribution is his comparative analysis of PID and fuzzy logic controllers for position control in double-link robotic manipulators, a study that rigorously evaluates the trade-offs between linear and nonlinear control strategies. This work, which has garnered 6 citations since its 2023 publication, provides critical insights into how fuzzy logic can outperform traditional PID controllers in handling system nonlinearities and uncertainties—a finding with direct implications for industrial automation and surgical robotics. By systematically benchmarking these controllers under varying load and trajectory conditions, Othman has helped establish a clearer framework for selecting control architectures in high-precision robotic applications. His research bridges the gap between classical control theory and modern intelligent systems, offering practical guidance for engineers designing more responsive and robust manipulators. Othman’s work continues to influence the development of adaptive control solutions in robotics.
Research Focus
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Top Papers
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