Huda Dhari Satea

Papers

Total Citations

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About

Dr. Huda Dhari Satea is a leading researcher in autonomous robotics, with a primary focus on Simultaneous Localization and Mapping (SLAM) and sensor-based navigation. Her most cited work, "Similarity measurement’s comparison with mapping and localization in large-scale" (2023, 17 citations), makes a pivotal contribution to SLAM by systematically comparing similarity measurement techniques for loop closure detection—a critical challenge in large-scale environments. This research addresses the fundamental problem of enabling mobile robots to recognize previously visited locations, thereby improving map consistency and localization accuracy. Dr. Satea’s work is instrumental in advancing the reliability of autonomous systems, particularly in complex, real-world settings. Her contributions are widely recognized for bridging theoretical algorithms with practical robotic applications, and her citation record reflects growing influence in the field. By tackling the core prerequisites of autonomous navigation, Dr. Satea continues to shape the future of intelligent robotics, making her research essential reading for students and engineers working on SLAM, sensor fusion, and mobile robot autonomy.