Zahra Mohana Gebril
Papers
1
Total Citations
2
H-Index
1
About
Zahra Mohana Gebril is a researcher whose work sits at the intersection of robotics, computer vision, and sensor-based navigation. Her key research areas include mobile robot obstacle avoidance, distance measurement techniques, and low-cost vision systems. Her most notable contribution is the development of a laser-pointer rangefinder method using a standard webcam, which enables mobile robots to accurately measure distances to obstacles in their environment. This approach, detailed in her 2010 paper, leverages image processing to calculate obstacle proximity, allowing robots to navigate safely toward target locations while avoiding collisions. The work demonstrates an elegant, cost-effective alternative to expensive ranging sensors, making autonomous navigation more accessible. While her citation count is modest, her research represents foundational work in accessible robotic sensing. Her laser-pointer method has particular relevance for educational robotics and small-scale autonomous systems, where budget constraints demand creative solutions. Gebril’s contribution lies in showing how common hardware—a laser pointer and webcam—can be repurposed for precise spatial measurement, a concept that continues to inspire low-cost robotics projects and embedded vision applications today.
Research Focus
Key Achievements
Top Papers
- 1