Rafia Hassani

Papers

Total Citations

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About

Rafia Hassani is a researcher whose work sits at the intersection of robotics, computer vision, and intelligent control systems. Her primary research focuses on developing autonomous navigation strategies for mobile robots, with a particular emphasis on real-time target tracking and interception using vision-based feedback. In her most cited work, "Vision Based Tracking and Interception of Moving Target by Mobile Robot Using Fuzzy Control" (2018), Hassani introduces a novel control architecture that leverages Fuzzy Logic Controllers (FLC) to enable a mobile robot equipped with a pan-tilt camera to dynamically track and intercept moving targets. This approach integrates video acquisition and image processing techniques to generate smooth, adaptive control commands, addressing a fundamental challenge in autonomous robotics. Although early in her career, with this paper accumulating 4 citations, Hassani’s contribution is notable for its practical, computationally efficient solution to a complex real-world problem. Her work holds promise for applications in surveillance, autonomous inspection, and human-robot interaction, marking her as an emerging voice in the field of intelligent robotic systems.