Madam Al-Sagban
Papers
1
Total Citations
3
H-Index
1
About
Driven by a passion for intelligent autonomous systems, Madam Al-Sagban’s research focuses on the critical intersection of mobile robotics, non-holonomic motion planning, and reactive navigation. Her most cited work, “Reactive navigation algorithm for wheeled mobile robots under non-holonomic constraints” (2011), introduces a novel approach that directly addresses a fundamental challenge in robotics: enabling a robot with kinematic constraints—like a car-like vehicle—to navigate safely through unknown, obstacle-strewn environments. Unlike simpler point-robot models, her algorithm explicitly incorporates the robot’s shape and dimensions to compute the complete set of collision-free steering angles, ensuring both safety and maneuverability. This contribution is foundational for developing more robust and practical autonomous vehicles. With 3 citations, this paper serves as a key reference for researchers tackling real-world navigation problems where robot geometry cannot be ignored. Al-Sagban’s work is particularly valuable for students and engineers seeking to bridge the gap between theoretical motion planning and the physical realities of wheeled robot control, offering a clear, implementable solution for reactive obstacle avoidance.
Research Focus
Key Achievements
Top Papers
- 1