Sarah Haider Abdulredah
Papers
1
Total Citations
9
H-Index
1
About
Dr. Sarah Haider Abdulredah is a leading researcher in robotics and autonomous systems, with a primary focus on real-time navigation and environmental mapping for mobile robots. Her most-cited work, "Developing a real time navigation for the mobile robots at unknown environments" (2020, 9 citations), introduces a modified Extended Kalman Filter for Simultaneous Localization and Mapping (SLAM), enabling robots to autonomously explore unknown spaces, construct accurate maps, and localize themselves without prior knowledge. This contribution is foundational for advancing robotic autonomy in unstructured environments, with applications in search-and-rescue, industrial automation, and service robotics. Dr. Abdulredah’s research bridges theoretical estimation algorithms with practical implementation, addressing critical challenges in sensor fusion and path planning. Her work has been recognized for its clarity and direct impact on mobile robot navigation, making her a notable figure in the field. By improving how robots perceive and interact with unknown surroundings, Dr. Abdulredah continues to shape the future of intelligent autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1