학술논문

System Architecture and Communication Infrastructure for the RoboVaaS Project
Document Type
Periodical
Source
IEEE Journal of Oceanic Engineering IEEE J. Oceanic Eng. Oceanic Engineering, IEEE Journal of. 48(3):716-739 Jul, 2023
Subject
Geoscience
Power, Energy and Industry Applications
Robots
Real-time systems
Inspection
Service robots
Robot sensing systems
Monitoring
Marine vehicles
Long-range Wi-Fi
network performance validation
robots as a service
sea experiments
underwater acoustic networks
unmanned vessels
Language
ISSN
0364-9059
1558-1691
2373-7786
Abstract
Current advancements in waterborne autonomous systems, together with the development of cloud-based service-oriented architectures and the recent availability of low-cost underwater acoustic modems and long-range above-water wireless devices, enable the development of new applications to support ships and port activities. Autonomous surface vehicles can, for instance, be used to perform bathymetry and environmental data collection tasks to ensure under keel clearance and to monitor the quality of the water. Similarly, remotely operated vehicles can be deployed to inspect ship hulls and typical port infrastructure elements, such as quay and sheet pilling walls. In this article, we present the complete system deployed for the small-scale demonstrations of the Robotic Vessels as-a-Service project, which introduces an on-demand service-based cloud system that dispatches unmanned vehicles capable of performing the required service either autonomously or piloted. These vessels are able to interact with sensors deployed in the port and with the shore station through an integrated underwater and above-water network. The developed system has been validated through sea trials and showcased through an underwater sensor data collection use case. The results of the test presented in this article provide a proof of concept of the system design and indicate its technical feasibility. It also shows the need for further developments for a mature technology allowing on-demand robotic maritime assistance services in real operational scenarios.