Zoulikha Bouhamatou

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About

Zoulikha Bouhamatou is a robotics researcher whose work focuses on intelligent control systems and autonomous navigation. Her primary research areas include fuzzy control, synergetic control theory, and visual simultaneous localization and mapping (SLAM) methodologies for mobile robots. Bouhamatou's most significant contribution is her work on fuzzy synergetic control for dynamic car-like mobile robots, where she developed a novel approach combining synergetic control theory with fuzzy logic to achieve precise linear and steering velocity convergence. This work, published in 2022, has garnered 6 citations and demonstrates her expertise in Lyapunov-based stability analysis for controlled systems. Her more recent 2024 publication on visual SLAM methodologies addresses the critical challenge of enabling robots to build environmental maps while simultaneously determining their position and orientation—a fundamental problem in autonomous robotics. Bouhamatou's research contributes to the growing field of reliable SLAM systems, which are essential for applications ranging from autonomous vehicles to service robots. Her work represents an important step toward more robust and intelligent robotic systems capable of operating in complex, unstructured environments.