Khadija Al Jabri
Papers
1
Total Citations
4
H-Index
1
About
Dr. Khadija Al Jabri is a robotics researcher whose work sits at the intersection of computer vision and autonomous navigation. Her primary research focus is developing intelligent obstacle-avoidance algorithms for mobile robots operating in complex, indoor environments. Her most cited work, "Obstacle-Avoidance Algorithm Using Deep Learning Based on RGBD Images and Robot Orientation" (2020), introduced a novel Convolutional Neural Network (CNN) that leverages raw RGBD images alongside robot orientation data to enable real-time, adaptive navigation. This approach harnesses the hierarchical feature extraction power of deep learning to allow robots to perceive and react to their surroundings without relying on pre-mapped environments. While her citation count is still growing—reflecting the early stage of her impactful contributions—Dr. Al Jabri’s work is notable for its practical, data-driven solution to a core challenge in mobile robotics: bridging the gap between raw sensory input and intelligent, collision-free movement. Her research holds promise for applications in service robotics, autonomous delivery, and assistive technologies, marking her as an emerging voice in the field of deep learning for robotic control.
Research Focus
Key Achievements
Top Papers
- 1