Papers
7
Total Citations
124
H-Index
6
About
Sana Baklouti is a leading researcher in the field of cable-driven parallel robots (CDPRs), with a core focus on improving their dynamic performance and control precision. Her major contributions center on addressing the inherent flexibility and vibration challenges of these systems. She pioneered a nonlinear cable tension model that reveals a critical "softening behavior" in cables under large strains, providing a more accurate foundation for dynamic analysis. Building on this, she developed elasto-dynamic model-based control strategies and input-shaping filters to actively reduce vibrations and enhance trajectory tracking. Her work, including the highly cited 2017 paper on dynamic motions (37 citations) and the 2019 study on vibration reduction (24 citations), has established a robust framework for controlling non-redundant CDPRs. Beyond cable robots, Baklouti has also advanced teleoperation by improving ROS-based control for Yaskawa robots, tackling latency and tracking errors. Her comprehensive doctoral thesis on vibration analysis and reduction encapsulates her dual-pronged approach to static and dynamic positioning, cementing her impact on the practical deployment of flexible robotic systems.
Research Focus
Key Achievements
Top Papers
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- 3On the Improvement of ROS-Based Control for Teleoperated Yaskawa Robots23 citations · 2021
- 4Input Shaping for Feed-Forward Control of Cable-Driven Parallel Robots16 citations · 2020
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- 7Vibration Analysis and Reduction of Cable-Driven Parallel Robots2 citations · 2018