@article{17a41c6084b34371b1bbd445330a8383,
title = "Development of modular bio-inspired autonomous underwater vehicle for close subsea asset inspection",
abstract = "To reduce human risk and maintenance costs, Autonomous Underwater Vehicles (AUVs) are involved in subsea inspections and measurements for a wide range of marine industries such as offshore wind farms and other underwater infrastructure. Most of these inspections may require levels of manoeuvrability similar to what can be achieved by tethered vehicles, called Remotely Operated Vehicles (ROVs). To extend AUV intervention time and perform closer inspection in constrained spaces, AUVs need to be more efficient and flexible by being able to undulate around physical constraints. A biomimetic fish-like AUV known as RoboFish has been designed to mimic propulsion techniques observed in nature to provide high thrust efficiency and agility to navigate its way autonomously around complex underwater structures. Building upon advances in acoustic communications, computer vision, electronics and autonomy technologies, RoboFish aims to provide a solution to such critical inspections. This paper introduces the first RoboFish prototype that comprises cost-effective 3D printed modules joined together with innovative magnetic coupling joints and a modular software framework. Initial testing shows that the preliminary working prototype is functional in terms of water-tightness, propulsion, body control and communication using acoustics, with visual localisation and mapping capability.",
keywords = "3D seafloor reconstruction, Acoustic communication, Biomimetic AUV, Biomimetic propulsion, Underwater robotics",
author = "Wael Gorma and Post, {Mark A.} and James White and James Gardner and Yang Luo and Jongrae Kim and Mitchell, {Paul D.} and Nils Morozs and Marvin Wright and Qing Xiao",
note = "Funding Information: This research was made possible by an EPSRC Supergen Offshore Renewable Energy (ORE) Hub Flexible Fund Program Grant ?Autonomous Biomimetic Robot-fish for Offshore Wind Farm Inspection? EPSRC grant number EP/S000747/, the White Rose Collaboration Fund through project ?Innovating the Future of Bio-Inspired Autonomous,Robots for Offshore Renewable Energy Inspection? and the University of York EPSRC Impact Acceleration Account for supporting additional collaborative work and research impact. Funding Information: Acknowledgments: The authors acknowledge the generous support provided by the EPSRC Super-gen ORE Hub in funding this research, and the support throughout the project from PicSea Ltd, East Coast Oil and Gas Engineering Ltd, and the UK Offshore Renewable Energy Catapult. The support of the White Rose Collaboration and the University of York are highly acknowledged for extending the project and bringing together additional expertise from the Universities of Leeds, Sheffield and York that directly benefits the project. Funding Information: RoboFish was created by the project “Autonomous Biomimetic Robot-fish for Offshore Wind Farm Inspection” supported by the EPSRC Supergen Renewable Energy Hub and “Innovating the Future of Bio-Inspired Autonomous, Robots for Offshore Renewable Energy Inspection” supported by the White Rose University Consortium. It was specifically aimed at investigating and exploiting bio-inspired mobility features to facilitate autonomous inspection of offshore infrastructure and is an agile and efficient biomimetic AUV that will in the near future be able to continuously inspect the foundations of offshore wind turbines and drastically reduce potential risks to divers, maintenance costs, and operational constraints. RoboFish replicates the full-body movement of an eel, allowing agility and energy efficiency in close proximity to structures. Funding Information: Funding: This research was made possible by an EPSRC Supergen Offshore Renewable Energy (ORE) Hub Flexible Fund Program Grant “Autonomous Biomimetic Robot-fish for Offshore Wind Farm Inspection” EPSRC grant number EP/S000747/, the White Rose Collaboration Fund through project “Innovating the Future of Bio-Inspired Autonomous,Robots for Offshore Renewable Energy Inspection” and the University of York EPSRC Impact Acceleration Account for supporting additional collaborative work and research impact. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2021",
month = jun,
day = "2",
doi = "10.3390/app11125401",
language = "English",
volume = "11",
journal = "Applied Sciences",
issn = "2076-3417",
publisher = "MDPI Multidisciplinary Digital Publishing Institute",
number = "12",
}