Ruqayah R. Al‐Dahhan
Papers
1
Total Citations
3
H-Index
1
About
Ruqayah R. Al‐Dahhan is a robotics researcher whose work centers on intelligent navigation, autonomous control, and human–robot interaction in complex, unknown environments. Her major contributions lie in developing adaptive algorithms for mobile robots, particularly the omni-directional Robotino® platform, enabling target seeking and real-time obstacle avoidance without requiring precise mathematical models. By leveraging fuzzy logic control, she has advanced the ability of robots to operate safely and efficiently in hazardous or unpredictable settings—a critical step toward practical deployment in search-and-rescue, industrial inspection, and domestic assistance. Her most cited paper, "Target Seeking and Obstacle Avoidance of Omni Robot in an Unknown Environment" (2020), has garnered 3 citations and exemplifies her focus on robust, model-free navigation strategies. Al‐Dahhan’s work bridges the gap between theoretical control systems and real-world robotic autonomy, offering scalable solutions for environments where traditional modeling falls short. Her research continues to inspire students and engineers aiming to build more resilient, intelligent machines that can navigate the messy, dynamic world alongside humans.
Research Focus
Key Achievements
Top Papers
- 1