activity
20242026
most citedStonefish: Supporting Machine Learning Research in Marine Robotics

3 citations · 4 across the 21 of their papers we have counts for

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Showing 2026Show all

9 papers · 1 filter

cs.RO2026

Contact-Aided Factor-Graph Localization for Underwater Sampling

Michele Grimaldi, Yosaku Maeda, Hitoshi Kakami +3

Accurate state estimation for autonomous underwater vehicles performing close-range seafloor sampling remains challenging. In low-altitude operation, down-looking cameras over feat…

cs.RO2026

A Cognitive Architecture for Shared Autonomy in AUV Operations

Niamh Ellis, Thi Tran, Ignacio Carlucho +1

Operators remain essential to Remotely Operated Vehicle (ROV) operation, yet often suffer from low situational awareness and high workload, both of which negatively affect safety.…

cs.RO2026

Beyond Shallow-Water Photorealism: Physically and Sensor-Grounded Simulation for Deep-Sea Robotics

Michele Grimaldi, Enrico Di Maria, Ignacio Carlucho +1

Many recent underwater simulators emphasize visual realism at the expense of physical fidelity, focusing on shallow-water effects with limited relevance in deep-water environments…

cs.RO2026

SAGE: Ergodic Control for Autonomous and Adaptive Inspection of Subsea Infrastructure

Markus Buchholz, Ignacio Carlucho, Yvan R. Petillot

Subsea Christmas Trees (XTs) are underwater structures that use valves for directing oil flow, needing constant inspection. But not every valve carries the same risk at the same ti…

cs.RO2026

World-Model-Grounded LLM Planning for AUV and ASV Navigation Near Offshore Wind Farms

Markus Buchholz, Ignacio Carlucho, Yvan R. Petillot

Large language models can turn a natural-language mission into a sequence of robot actions, but they do not have a sense of physics: they cannot judge how long a command should run…

cs.CV2026

BALTIC: A Benchmark and Cross-Domain Strategy for 3D Reconstruction Across Air and Underwater Domains Under Varying Illumination

Michele Grimaldi, David Nakath, Oscar Pizarro +3

Robust 3D reconstruction across varying environmental conditions remains a critical challenge for robotic perception, particularly when transitioning between air and water. To addr…

cs.RO2026

Towards reliable subsea object recovery: a simulation study of an auv with a suction-actuated end effector

Michele Grimaldi, Yosaku Maeda, Hitoshi Kakami +3

Autonomous object recovery in the hadal zone is challenging due to extreme hydrostatic pressure, limited visibility and currents, and the need for precise manipulation at full ocea…

cs.RO2026

InsSo3D: Inertial Navigation System and 3D Sonar SLAM for turbid environment inspection

Simon Archieri, Ahmet Cinar, Shu Pan +4

This paper presents InsSo3D, an accurate and efficient method for large-scale 3D Simultaneous Localisation and Mapping (SLAM) using a 3D Sonar and an Inertial Navigation System (IN…

cs.RO2026

VISO: Robust Underwater Visual-Inertial-Sonar SLAM with Photometric Rendering for Dense 3D Reconstruction

Shu Pan, Simon Archieri, Ahmet Cinar +3

Visual challenges in underwater environments significantly hinder the accuracy of vision-based localisation and the high-fidelity dense reconstruction. In this paper, we propose VI…