To unlock and boost new discoveries that will be crucial to face climate change, and regulate human actives, which will be key for both environmental conservation and socio-economical activities. We aim to make all the past, current, and future biological and oceanographic data available to everybody. Therefore, we will use relevant sleeping data, by designing new tools and methodologies to use and process relevant data already collected for different institutions, which may come from physical and chemical sensors, or video cameras. We will also harmonize the data, promoting tools to make them the standard among researchers and data-generator actors, developing protocols and best practices, like standardization tools as PUCK among marine sensors and monitoring platforms, and unifying libraries and resources (e.g., FanthomNet or Emodnet). At the same time, we will ensure a secured, sustained and reliable data flows by developing auto correction/validation methodologies and by publishing a set of tools and pipelines to ensure the trustfulness of data. Moreover, we will be using economies of scale and enhanced standardization to conduct several pilot sea-basin scale monitoring tests using two strategies: (1) using existing relevant sleeping data form online and partner repositories, and (2) using new data collected during field test demonstrations. Here, we will develop tools to better support assessment: studying and identifying key indicators and mechanisms to extract them from the data will generate the appropriate guidelines for policymaker, researchers, and socioeconomic sectors. Making those tools, methodologies, and implementations open source for the researchers and public in general will boost their utilization and improvement, even after the conclusion of the present project. With these demonstration examples, the international collaboration, and open source resources, we aim to make our proposal by fact the standard gold to follow in the following years

The importance of our seas and oceans to the economy and societal well-being is broadly acknowledged. In addition, offshore infrastructure in the form of ports, wind farms, aquaculture facilities, natural gas pipes, etc. has continuously expanded and has become more commonplace in recent years. Activities associated with seabed mapping, monitoring of the health and status of marine habitats, offshore infrastructure inspection, seabed mining and underwater sensing have traditionally been based on the use of crewed support vessels which are expensive to run and have limited endurance. The MERLIN project seeks to exploit long-endurance operational capabilities offered through the use of hydrogen fuel cells and renewable energy installed onboard Unmanned Surface Vessels (USV) and Autonomous Underwater Vessels (AUVs) which are capable of navigating and operating autonomously based on AI algorithms without the need for human intervention. A Mission Remote Control Centre (MRCC) will permit data from the autonomous vessels to be transmitted to base. Conversely, the MRCC will allow the transmission of commands from the supervisor to the robotic vehicles. The vehicles will incorporate advanced surface and underwater grasping capability for the collection of samples, handling, installation and recovery of sensors using custom-built robotic arms. The USV will provide geotagging reference data to the AUVs when they operate underwater and be able to track them during the mission. The USV will be able to navigate from its base to the location of the mission where the AUVs will be released. At the end of the mission the AUVs will dock again with the USV so they can be safely returned to base. The vehicles will be capable of operating independently as well as in combination with support vessels . The demonstration activities include three different high value use cases, including marine habitat monitoring, underwater volcano seabed mapping, and port infrastructure inspection.

The proposition in this project is to use autonomous platforms for remote monitoring and chemical mapping of underwater heritage sites, such as AUVs (Autonomous Underwater Vehicles), BUOYs (Unmanned Surface Vehicles) and ROVs (remote operated vehicles). A swarm of self-coordinated AUVs will be responsible to monitor, survey and scan the heritage sites for detecting/identifying and monitor degradation, state of the UW surrounding site, possible intervention actions for alarming conditions etc. The swarm of AUVs will embed high edge processing capacity to support operational autonomy, dynamic path planning, dynamic sample-strategy planning and coordinated-swarming towards overall low energy consumption and long mission endurance, according to the project mission goals. The proposed swarming concept foresees building common underwater consensus of the cultural site, through periodic bilateral communication between AUVs to mutually achieve the overall common surveying goal; while the mother BUOY will be responsible to collect and deeply analyze raw AUV information to provide enhanced site situation awareness insights to the external human supervisor/user. Furthermore, the BUOY will be equipped with renewable solar collectors to ensure continuous power availability and reduced mission’s footprint, enough to support the overall mission energy needs (AUV will be periodically powered through BUOY). The supervisor/user will be located in a remote monitoring station, onshore, to allow periodic mission lifecycle management and general overview of the whole system situation based on real-time visual analytic mechanisms