Papers
4
Total Citations
82
H-Index
3
About
Ali Oulmas is a leading researcher in the field of microrobotics, specializing in the motion control of microswimmers at low Reynolds numbers. His work focuses on the development of closed-loop control strategies for helical and flexible magnetic swimmers, which are envisioned for biomedical applications such as targeted drug delivery and micromanipulation. Oulmas has made significant contributions to the kinematic modeling of these tiny robots, particularly through the use of Serret–Frenet frames and chained formulations to achieve precise 3D path following. His most-cited paper, "3D closed-loop swimming at low Reynolds numbers" (2018, 50 citations), introduces a method to compute magnetic torque for helical microswimmers, enabling robust closed-loop control in three dimensions. Another influential work (2017, 19 citations) experimentally validates these algorithms using scaled-up prototypes, demonstrating resilience to modeling errors and environmental disturbances. Oulmas also advanced theoretical frameworks for nonholonomic systems (2016, 11 citations) and systematically compared the swimming performance of flexible versus helical swimmers (2019). His research bridges theory and experiment, pushing microrobots closer to real-world medical tasks.
Research Focus
Key Achievements
Top Papers
- 13D closed-loop swimming at low Reynolds numbers50 citations · 2018
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