Sabine Sellier
Papers
1
Total Citations
7
H-Index
1
About
Sabine Sellier is a researcher whose work lies at the intersection of underwater robotics, sensor fusion, and cable dynamics. Her key research areas include the estimation and control of tethered robotic systems, with a particular focus on the challenges of underwater environments. Sellier’s most notable contribution is a novel method for estimating the catenary shape of negatively buoyant cables connecting pairs of underwater robots in a chain. By leveraging data from inertial measurement units (IMUs) to calculate local tangents, her 2022 paper introduced a practical, sensor-driven approach to a problem critical for coordinated underwater operations. This work, which has already garnered 7 citations, demonstrates her ability to combine theoretical modeling with real-world sensing constraints. Sellier’s research is especially relevant for applications in underwater inspection, environmental monitoring, and multi-robot coordination, where accurate cable shape estimation is essential for stability and control. Her innovative use of IMUs for shape reconstruction marks a significant step forward in making tethered underwater robots more reliable and autonomous.
Research Focus
Key Achievements
Top Papers
- 1