Faiqa Rafiq

Papers

Total Citations

H-Index

About

Faiqa Rafiq is a researcher specializing in intelligent control systems, with a focus on fuzzy logic, robotics, and nonlinear teleoperation. Her work bridges theoretical control design and practical autonomous navigation. In her most cited paper (2016), she developed a transparent fuzzy bilateral controller for nonlinear teleoperation systems, using Takagi-Sugeno fuzzy models to approximate complex dynamics and ensure stable, transparent master-slave coordination—a key contribution to haptic and remote robotic control. Her earlier work (2012) introduced a two-loop fuzzy controller for goal-directed mobile robot navigation in unknown indoor environments, where one loop handles collision-free path planning and the other steers the robot toward its target. Though her citation counts (5 and 3, respectively) reflect a niche but growing impact, her research demonstrates a clear trajectory in applying fuzzy logic to real-world robotic challenges. Rafiq’s contributions are particularly relevant for students and researchers in control engineering, autonomous systems, and human-robot interaction, offering practical frameworks for teleoperation and mobile robot guidance in uncertain environments.