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Nautilus: An autonomous surface vehicle with a multilayer software architecture for offshore inspection

Title
Nautilus: An autonomous surface vehicle with a multilayer software architecture for offshore inspection
Type
Article in International Scientific Journal
Year
2024
Authors
Campos, DF
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Goncalves, EP
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Campos, HJ
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Pereira, MI
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Pinto, AM
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Vol. 41
Pages: 966-990
ISSN: 1556-4959
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Authenticus ID: P-00Z-ZV9
Abstract (EN): The increasing adoption of robotic solutions for inspection tasks in challenging environments is becoming increasingly prevalent, particularly in the offshore wind energy industry. This trend is driven by the critical need to safeguard the integrity and operational efficiency of offshore infrastructure. Consequently, the design of inspection vehicles must comply with rigorous requirements established by the offshore Operation and Maintenance (O&M) industry. This work presents the design of an autonomous surface vehicle (ASV), named Nautilus, specifically tailored to withstand the demanding conditions of offshore O&M scenarios. The design encompasses both hardware and software architectures, ensuring Nautilus's robustness and adaptability to the harsh maritime environment. It presents a compact hull capable of operating in moderate sea states (wave height up to 2.5 m), with a modular hardware and software architecture that is easily adapted to the mission requirements. It has a perception payload and communication system for edge and real-time computing, communicates with a Shore Control Center and allows beyond visual line-of-sight operations. The Nautilus software architecture aims to provide the necessary flexibility for different mission requirements to offer a unified software architecture for O&M operations. Nautilus's capabilities were validated through the professional testing process of the ATLANTIS Test Center, involving operations in both near-real and real-world environments. This validation process culminated in Nautilus's reaching a Technology Readiness Level 8 and became the first ASV to execute autonomous tasks at a floating offshore wind farm located in the Atlantic.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 25
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