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Auteurs principaux: Amer, Abdelhakim, Alstrup, Aske, Rasmussen, Frederik, Brodskiy, Yury, Sarabakha, Andriy, Kayacan, Erdal
Format: Preprint
Publié: 2026
Sujets:
Accès en ligne:https://arxiv.org/abs/2605.14683
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author Amer, Abdelhakim
Alstrup, Aske
Rasmussen, Frederik
Brodskiy, Yury
Sarabakha, Andriy
Kayacan, Erdal
author_facet Amer, Abdelhakim
Alstrup, Aske
Rasmussen, Frederik
Brodskiy, Yury
Sarabakha, Andriy
Kayacan, Erdal
contents High-resolution seafloor mapping necessitates stable and precise positioning for underwater robots. This paper introduces a novel mathematical model for SeaVis remotely operated towed vehicles (ROTVs) and develops a gain-scheduled linear-quadratic regulator (LQR) for robust depth and attitude control. We validate the approach in a high-fidelity simulation, benchmarking the LQR against a conventional PID controller over a challenging seabed profile. The presented results demonstrate the LQR's superior performance, with significantly enhanced robustness to disturbances, greater control efficiency, and substantially reduced flap actuation. The gain scheduling also confirms the controller's effectiveness across the full operational velocity range. The complete simulation environment and controller are open-sourced.
format Preprint
id arxiv_https___arxiv_org_abs_2605_14683
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle SeaVis: Modeling and Control of a Remotely Operated Towed Vehicle for Seabed Visualization and Mapping
Amer, Abdelhakim
Alstrup, Aske
Rasmussen, Frederik
Brodskiy, Yury
Sarabakha, Andriy
Kayacan, Erdal
Robotics
Systems and Control
High-resolution seafloor mapping necessitates stable and precise positioning for underwater robots. This paper introduces a novel mathematical model for SeaVis remotely operated towed vehicles (ROTVs) and develops a gain-scheduled linear-quadratic regulator (LQR) for robust depth and attitude control. We validate the approach in a high-fidelity simulation, benchmarking the LQR against a conventional PID controller over a challenging seabed profile. The presented results demonstrate the LQR's superior performance, with significantly enhanced robustness to disturbances, greater control efficiency, and substantially reduced flap actuation. The gain scheduling also confirms the controller's effectiveness across the full operational velocity range. The complete simulation environment and controller are open-sourced.
title SeaVis: Modeling and Control of a Remotely Operated Towed Vehicle for Seabed Visualization and Mapping
topic Robotics
Systems and Control
url https://arxiv.org/abs/2605.14683