Sabrina Mohand Saidi
Papers
3
Total Citations
43
H-Index
3
About
Sabrina Mohand Saidi is a robotics researcher whose work centers on intelligent control systems, autonomous navigation, and real-time obstacle avoidance for mobile and manipulator robots. Her most influential paper, “Real-Time Fuzzy-PID for Mobile Robot Control and Vision-Based Obstacle Avoidance” (2022, 26 citations), introduces a hybrid control strategy that fuses fuzzy logic with conventional PID to enable differential mobile robots to navigate complex, obstacle-filled environments using only a monocular camera. This work stands out for its practical, real-time approach to path planning and collision avoidance. In 2023, she extended her expertise to manipulator control with “Sliding Mode Control of the PUMA 560 Robot” (13 citations), demonstrating robust trajectory tracking for a three-degree-of-freedom industrial arm. Her earlier research on “Mobile Robot Environment Map Building, Trajectory Tracking and Collision Avoidance Applications” (2019, 4 citations) laid the groundwork for metric-based environmental mapping using ultrasonic sensors. Collectively, Saidi’s contributions bridge classical control theory and modern autonomous systems, offering scalable solutions for both wheeled and articulated robots. Her work is particularly relevant for students and engineers developing cost-effective, vision-guided robotics for dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1
- 2Sliding Mode Control of the PUMA 560 Robot13 citations · 2023
- 3