Anis Fatmi

Papers

Total Citations

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About

Anis Fatmi is a researcher whose work lies at the intersection of mobile robotics and intelligent control systems. Her most cited paper, "A Fuzzy Logic Based Navigation of a Mobile Robot" (2008), addresses one of the most persistent challenges in autonomous robotics: enabling robots to navigate safely through crowded, unpredictable environments. By applying fuzzy logic to obstacle avoidance and path planning, Fatmi developed a framework that allows mobile robots to make real-time, human-like decisions without requiring precise environmental models. This work, which has garnered 4 citations, laid early groundwork for adaptive navigation systems that prioritize robustness over rigid programming. Fatmi’s contributions are particularly notable for tackling the problem of unmodeled obstacles—a critical issue in real-world applications like warehouse automation or assistive robotics. While her citation count reflects a focused niche, her research resonates with engineers seeking practical, computationally efficient solutions for autonomous mobility. Fatmi’s approach demonstrates how fuzzy logic can bridge the gap between theoretical control systems and the messy realities of physical navigation, making her a thoughtful contributor to the field of intelligent robotics.