Juliette Drupt

Université de Toulon, Heriot-Watt University

Papers

Total Citations

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About

Juliette Drupt is a rising expert in underwater robotics, specializing in the localization and modeling of tethered robotic systems. Her research focuses on solving fundamental challenges in underwater operations, particularly the estimation of cable shapes and dynamics for tethered robots. Drupt’s most-cited work, "ROV localization based on umbilical angle measurement" (2023, 8 citations), introduces an innovative approach to remotely operated vehicle (ROV) positioning using cable angle data. She further advanced the field with "Inertial-measurement-based catenary shape estimation of underwater cables for tethered robots" (2022, 7 citations), which proposes a novel method for estimating negatively buoyant cable shapes in robot chains by leveraging inertial measurement units to calculate local tangents. Her 2024 paper, "An Augmented Catenary Model for Underwater Tethered Robots" (4 citations), extends catenary-based models to account for hydrodynamic damping, a critical factor in real-world underwater applications. Most recently, Drupt has ventured into 3D mapping with "3DSSDF: Underwater 3D Sonar Reconstruction Using Signed Distance Functions" (2025, 1 citation), addressing the need for online localization and mapping in GPS-denied underwater environments. Her work, though early in her career, is already shaping the future of autonomous underwater operations, with a growing citation impact that underscores its relevance.