Fatemah Al-Assfor
Papers
1
Total Citations
6
H-Index
1
About
Fatemah Al-Assfor is a researcher focused on advancing autonomous systems through innovative mathematical modeling and sensor-based solutions. Her primary research areas include indoor robot localization, intelligent control systems, and sensor fusion techniques. Her most notable contribution is the development of an efficient mathematical approach for indoor robot localization, published in 2019, which has garnered 6 citations. This work introduces a novel algorithm that leverages light sensors to solve critical localization challenges in cluttered or GPS-denied environments, offering a counterfeit-intelligent control strategy that enhances accuracy and computational efficiency. By addressing the fundamental problem of determining a robot's position in real-time, Al-Assfor's research has practical implications for warehouse automation, search-and-rescue operations, and smart home robotics. Her approach stands out for its simplicity and effectiveness, providing a foundation for future work in robust, low-cost navigation systems. As a researcher, Al-Assfor continues to explore the intersection of mathematics and robotics, aiming to make autonomous systems more reliable and accessible.
Research Focus
Key Achievements
Top Papers
- 1