Papers
4
Total Citations
20
H-Index
3
About
Imen Saidi is a robotics and control systems researcher whose work bridges classical automation and intelligent, energy-aware control for robotic platforms. Her research focuses on developing advanced control strategies—including sliding mode, fuzzy backstepping, and adaptive control—for applications ranging from mobile manipulators and quadrotors to rehabilitation exoskeletons. In her most-cited work (2021, 9 citations), Saidi introduced a hybrid sliding mode control law for 2DOF robot manipulators, integrating artificial neural networks with minimum parameter learning to enhance trajectory tracking without heavy computational load. She has also pioneered a fuzzy backstepping approach for quadrotors that balances precision with energy efficiency (2025, 5 citations), addressing a critical challenge in aerial robotics. Her work on upper-limb rehabilitation exoskeletons (2022, 3 citations) proposes robust control tailored for safe human-robot interaction, while a comparative study on adaptive versus feedback control for mobile robots (2019, 3 citations) provides foundational insights for autonomous navigation. Saidi’s contributions are particularly valuable for students and researchers interested in intelligent, efficient, and human-safe robotic control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4