Muhammad Safwan

Papers

Total Citations

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About

Muhammad Safwan is a robotics researcher specializing in the control and trajectory tracking of nonholonomic wheeled mobile robots (NWMRs). His work focuses on developing advanced hybrid control strategies that combine fuzzy logic with classical control methods to address the inherent nonlinearities and constraints of mobile robot kinematics. Safwan’s most influential contribution is a novel hybrid controller integrating fuzzy logic-based regulation, pole-placement, and tracking (F-RST), detailed in his top-cited paper (17 citations). This approach enables precise path following despite the robot’s nonholonomic constraints. He has also proposed feedforward and feedback kinematics controllers to further improve tracking accuracy and robustness. With over 40 total citations across his key publications, Safwan’s research has provided practical solutions for autonomous navigation in constrained environments. His work is particularly relevant for applications in industrial automation, service robotics, and autonomous vehicles, where reliable trajectory tracking is critical. By bridging fuzzy logic and classical control theory, Safwan has advanced the field of mobile robot control, offering accessible and effective methods for researchers and engineers tackling real-world robotic systems.