Zineb Habba

Papers

Total Citations

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About

Dr. Zineb Habba is a researcher specializing in robotics, computer vision, and intelligent control systems, with a particular focus on enabling autonomous mobile robots to interact dynamically with their environments. Her most cited work, "Vision Based Tracking and Interception of Moving Target by Mobile Robot Using Fuzzy Control" (2018), introduces a novel approach that integrates video acquisition, image processing, and Fuzzy Logic Controllers (FLC) to solve the complex problem of tracking and intercepting moving targets in real time. This contribution is significant because it demonstrates how computationally efficient fuzzy control strategies can replace more resource-intensive methods, making real-time vision-based tracking feasible for mobile robots equipped with pan-tilt cameras. While her citation count is currently modest, this work lays a critical foundation for applications in surveillance, autonomous navigation, and human-robot interaction. Dr. Habba’s research bridges the gap between theoretical control algorithms and practical robotic implementation, offering a scalable solution for dynamic target interception. Her work is particularly valuable for students and researchers exploring low-cost, sensor-driven robotic systems, highlighting the potential of fuzzy logic in real-world autonomous decision-making.