Maather Alshaibi
Papers
1
Total Citations
3
H-Index
1
About
Dr. Maather Alshaibi is a leading researcher in autonomous robotics and intelligent control systems, with a primary focus on mobile robot navigation and obstacle avoidance. Her most-cited work, "Optimal Mobile Robot Navigation for Obstacle Avoidance Based on ANFIS Controller," introduces a novel sensor-based steering angle control method that leverages the Adaptive Neuro-Fuzzy Inference System (ANFIS) to enable wheeled robots to navigate and avoid collisions in unfamiliar environments. This contribution addresses a longstanding challenge in automated movement control, offering a robust, adaptive solution that bridges fuzzy logic and neural networks. With 3 citations in just its first year, the paper is already gaining recognition for its practical approach to real-time navigation. Dr. Alshaibi’s research is particularly impactful for students and engineers working on autonomous systems, as it provides a clear framework for integrating learning-based control with traditional robotics. Her work stands out for its emphasis on optimal performance in dynamic settings, making her a rising voice in the field of intelligent robotics and control engineering.
Research Focus
Key Achievements
Top Papers
- 1