3 citations · 3 across the 11 of their papers we have counts for
11 papers · 1 filter
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…
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…
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…
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…
Framework for Robust Motion Planning of Tethered Multi-Robot Systems in Marine Environments
Markus Buchholz, Ignacio Carlucho, Zebin Huang +4
This paper introduces CoralGuide, a novel framework designed for path planning and trajectory optimization for tethered multi-robot systems. We focus on marine robotics, which comm…
Tethered Multi-Robot Systems in Marine Environments
Markus Buchholz, Ignacio Carlucho, Michele Grimaldi +1
This paper introduces a novel simulation framework for evaluating motion control in tethered multi-robot systems within dynamic marine environments. Specifically, it focuses on the…
Distributed AI Agents for Cognitive Underwater Robot Autonomy
Markus Buchholz, Ignacio Carlucho, Michele Grimaldi +1
Achieving robust cognitive autonomy in robots navigating complex, unpredictable environments remains a fundamental challenge in robotics. This paper presents Underwater Robot Self-…
Advancing Shared and Multi-Agent Autonomy in Underwater Missions: Integrating Knowledge Graphs and Retrieval-Augmented Generation
Michele Grimaldi, Carlo Cernicchiaro, Sebastian Realpe Rua +6
Robotic platforms have become essential for marine operations by providing regular and continuous access to offshore assets, such as underwater infrastructure inspection, environme…
Context-Aware Behavior Learning with Heuristic Motion Memory for Underwater Manipulation
Markus Buchholz, Ignacio Carlucho, Michele Grimaldi +2
Autonomous motion planning is critical for efficient and safe underwater manipulation in dynamic marine environments. Current motion planning methods often fail to effectively util…
Stonefish: Supporting Machine Learning Research in Marine Robotics
Michele Grimaldi, Patryk Cieslak, Eduardo Ochoa +6
Simulations are highly valuable in marine robotics, offering a cost-effective and controlled environment for testing in the challenging conditions of underwater and surface operati…
Integrating a Digital Twin Concept in the Zero Emission Sea Transporter (ZEST) Project for Sustainable Maritime Transport using Stonefish Simulator
Michele Grimaldi, Carlo Cernicchiaro, George Rossides +3
In response to stringent emission reduction targets imposed by the International Maritime Organization (IMO) and the European Green Deal's Fit for 55 legislation package, the marit…