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cs.RO2026

CORAL-AUV: CFD Oriented Reinforcement Learning for Autonomous Underwater Vehicles

Steven Roche, Milo Van Mooy, Nathan McGuire +3

Fine grain control and positioning of autonomous underwater vehicles (AUVs) is critical for sampling, maintenance, and survey applications. Traditional control methods for AUVs are…

cs.RO2026

Autonomous Search for Sparsely Distributed Visual Phenomena through Environmental Context Modeling

Eric Chen, Travis Manderson, Nare Karapetyan +3

Autonomous underwater vehicles (AUVs) are increasingly used to survey coral reefs, yet efficiently locating specific coral species of interest remains difficult: target species are…

cs.RO2026

ReefMapGS: Enabling Large-Scale Underwater Reconstruction by Closing the Loop Between Multimodal SLAM and Gaussian Splatting

Daniel Yang, Jungseok Hong, John J. Leonard +1

3D Gaussian Splatting is a powerful visual representation, providing high-quality and efficient 3D scene reconstruction, but it is crucially dependent on accurate camera poses typi…

cs.RO2026

AMP2026: A Multi-Platform Marine Robotics Dataset for Tracking and Mapping

Edwin Meriaux, Shuo Wen, David Widhalm +11

Marine environments present significant challenges for perception and autonomy due to dynamic surfaces, limited visibility, and complex interactions between aerial, surface, and su…

cs.RO2025

Measuring and Minimizing Disturbance of Marine Animals to Underwater Vehicles

Levi Cai, Youenn Jézéquel, T. Aran Mooney +1

Do fish respond to the presence of underwater vehicles, potentially biasing our estimates about them? If so, are there strategies to measure and mitigate this response? This work p…

cs.RO2025

Learning to Swim: Reinforcement Learning for 6-DOF Control of Thruster-driven Autonomous Underwater Vehicles

Levi Cai, Kevin Chang, Yogesh Girdhar

Controlling AUVs can be challenging because of the effect of complex non-linear hydrodynamic forces acting on the robot, which are significant in water and cannot be ignored. The p…