TY - GEN
T1 - Advancing Offshore Underwater Applications using a Robotic System with Robust Navigation and Virtual Supervision Capabilities
AU - Loncar, Ivan
AU - Santos, Phillipe
AU - Omerdic, Edin
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - The global energy crisis and climate concerns have led to a significant migration towards renewable energy sources, with the offshore wind farm industry experiencing substantial growth. This paper focuses on the feasibility of using and extending the existing cooperative robotic infrastructure for aiding the installation of offshore micropiles for wind farm deployment. The study incorporates a digital twin representation of systems in the marine industry, enabled by Internet of Things (IoT) technologies, to enhance productivity, operational efficiency, and safety. The paper introduces a network topology for remote supervision of distributed multivehicle systems and extends the OceanRINGS+ supervision interface for 3D visualisation and interaction of the ship-ROVanchoring system. The research demonstrates the autonomous navigation capability of the system and fault-tolerant guidance, navigation, and control system of underwater vehicles. This work contributes to the transition from Human-In-The-Loop (HIL) systems to Human-On-The-Loop (HOL) systems for offshore operations, providing potential cost savings, reduced stress for operators, and improved focus on mission objectives.
AB - The global energy crisis and climate concerns have led to a significant migration towards renewable energy sources, with the offshore wind farm industry experiencing substantial growth. This paper focuses on the feasibility of using and extending the existing cooperative robotic infrastructure for aiding the installation of offshore micropiles for wind farm deployment. The study incorporates a digital twin representation of systems in the marine industry, enabled by Internet of Things (IoT) technologies, to enhance productivity, operational efficiency, and safety. The paper introduces a network topology for remote supervision of distributed multivehicle systems and extends the OceanRINGS+ supervision interface for 3D visualisation and interaction of the ship-ROVanchoring system. The research demonstrates the autonomous navigation capability of the system and fault-tolerant guidance, navigation, and control system of underwater vehicles. This work contributes to the transition from Human-In-The-Loop (HIL) systems to Human-On-The-Loop (HOL) systems for offshore operations, providing potential cost savings, reduced stress for operators, and improved focus on mission objectives.
KW - digital twin
KW - fault-tolerant control
KW - iot
KW - marine iot
KW - robotic systems
KW - robust control
UR - http://www.scopus.com/inward/record.url?scp=85195427208&partnerID=8YFLogxK
U2 - 10.1109/WF-IoT58464.2023.10539533
DO - 10.1109/WF-IoT58464.2023.10539533
M3 - Conference contribution
AN - SCOPUS:85195427208
T3 - 2023 IEEE World Forum on Internet of Things: The Blue Planet: A Marriage of Sea and Space, WF-IoT 2023
BT - 2023 IEEE World Forum on Internet of Things
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 9th IEEE World Forum on Internet of Things, WF-IoT 2023
Y2 - 12 October 2023 through 27 October 2023
ER -