Papers
8
Total Citations
70
H-Index
6
About
Sana Bembli is a robotics and control systems researcher whose work focuses on the development and analysis of advanced control algorithms for upper-limb exoskeleton systems, with a particular emphasis on rehabilitation engineering. Her research centers on sliding mode control, model-free control strategies, and gravity compensation techniques, consistently addressing the critical challenges of robustness and stability in human-robot interaction. Bembli's most impactful contribution, "A Robust Model Free Terminal Sliding Mode with Gravity Compensation Control of a 2 DoF Exoskeleton-Upper Limb System" (2021, 20 citations), exemplifies her signature approach: designing sophisticated, uncertainty-tolerant controllers for two-degree-of-freedom exoskeletons targeting shoulder and elbow rehabilitation movements. Her 2018 work on robustness analysis through Monte Carlo simulation demonstrated her commitment to rigorous, statistically validated controller evaluation — a methodological strength that distinguishes her portfolio. Progressing from classical sliding mode methods to adaptive and ultimately model-free terminal variants, her body of work traces a clear trajectory of increasing sophistication. Her 2022 human-in-the-loop modeling study reflects her growing interest in realistic, patient-centered system dynamics. With over 70 cumulative citations, Bembli has established herself as a meaningful contributor to the field of rehabilitation robotics and intelligent exoskeleton control.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8