This project has been able thanks to the EUMarineRobots (EUMR), Marine Robotics research Infrastructure network. EUMarineRobots (EUMR) proposes an access-infrastructure for the deployment of a full-range of aerial, surface and sub-surface marine robotic assets, the combined value of which is far greater than the sum of their parts. EUMR will open transnational access to significant national marine robotics R&D assets across Europe. CORI applied to the second TNA call to develope this project.
The main objectives of the project are: to show the capabilities of AI algorithms to sample complex oceanographic features in three dimensions and to install it on an AUV different from the one where it was tested. The algorithms to be used have been succesfully used for tracking Chlorophyl paths in an AUV from Norwegian University of Science and Technology (NTNU).
The implementation of the algorithm in an underwater vehicle different from the one where it was tested and with a different payload setup (i.e.: sensor or second CPU models) will expand vehicle interoperability. Ultimately we will undergo a series of oceanographic sea trials to collect relevant data in the study of the Douro River Plume. The algorithm will try to track the salinity front formed by the low salinity river outflow and the ocean; this information will allow us to compare this methodology with surveys based on prefixed paths.
Finally, this project aims at drafting a roadmap for best practices, challenges and solutions for these types of integration efforts with the purpose of supplying a series of Lessons Learned for others which endeavour to pursue interoperability of autonomous vehicles for maritime environments. This project will have the support of researchers (external collaborator section) from NTNU, with experience on the algorithm used, and from CIIMAR (Interdisciplinar center of Marine and Enviromental Research) that have performed several research campaigns on the Duouro plume.