The vision of SFI Harvest: Pioneering the lower-trophic fisheries – Innovations to unlock the blue bioeconomic potential.
The ocean hosts a large number of species, especially in lower trophic levels, that are either not harvested or only marginally utilised. These species, such as mesopelagic fish, krill and Calanus, could improve food security and the wellbeing of humanity. SFI Harvest will draw upon Norway's leading position in the ocean and offshore sectors to develop technologies for sustainable harvesting and processing of underexploited species. To secure sustainable utilisation of these valuable marine resources, technological solutions must be paired with scientific knowledge about ecosystem dynamics, development of fisheries management and well-documented business models.
Main objective: To develop knowledge and technologies for responsible harvesting and processing of lower trophic marine resources, allowing sustainable growth of Norway's biomarine industries.
SFI Harvest brings together pioneering shipowners, key technology providers, large producers of raw materials and feed for the aquaculture sector, stakeholders, SINTEF Ocean and other strong research groups, including AMOS (the Norwegian Centre of Excellence for Autonomous Marine Operations and Systems). The innovations will enable precise and efficient capture and processing of mesopelagic species, zooplankton and phytoplankton.
The REMARO ETN is a consortium of recognized submarine AI experts, software reliability experts, and a marine safety certification agency created to educate 15 ESRs able to realize the vision of reliable autonomy for underwater applications.
REMARO attacks one of the most pressing problems of modern computing, the safety of AI, in the well defined context of submarine robotics. The REMARO research fellows will develop the first ever submarine robotics AI methods with quantified reliability, correctness specifications, models, tests, and analysis & verification methods. REMARO rests on two founding principles: (i) The submarine robot autonomy requires a comprehensive hybrid deliberative architecture, a robotic brain. (ii) Safety and reliability must be co-designed simultaneously with cognition, not separately, as an afterthought. These principles are used to construct the training program (to train ESRs to deliver required scientific breakthroughs) and the expert consortium (to supervise the ESRs, run secondments and courses).
The expertise accumulated in the consortium enables the execution of the interdisciplinary training in (i) computer vision and machine learning, (ii) knowledge, reasoning, and planning, (iii) testing, model-driven-engineering, bug- finding, (iv) verification and model-checking. REMARO delivers a world-class training-by-research to 15 ESRs, with almost 40 days of intense training activities, many interdisciplinary collaborations, 3 cross-sector cross-discipline Challenge Camps, and 37 secondments, including 17 at academic labs and 20 at industrial facilities. The network will communicate results to two large and bustling research communities and to industry via European platforms and its own Industry Follow Group. The training material will be published in the REMARO book and the REMARO online Learning Hub, and the software and data modules will be licensed for open use to accelerate research and maximize the long-lasting impact on European underwater robotics industry.
REMARO has received funding from the European Union’s EU Framework Programme for Research and Innovation Horizon 2020 under Grant Agreement No 956200
The ocean is a fundamental part of the global live-support system and provider of a wealth of resources to the humanity. Despite this paramount importance to society, there are fundamental gaps in ocean observing and forecasting systems, limiting our capacity to sustainably manage our activities in the ocean. Ocean observing is “big science” and cannot be solved by individual nations. EuroSea will support European integration for coordinated observations of the ocean that can be sustained in the long term.
EuroSea is a European Union Horizon 2020 Innovation Action running from November 2019 to December 2023. It brings together key European actors of ocean observation and forecasting with key end users of ocean observations, responding to the G7 Future of the Seas and Oceans Flagship Initiative. EuroSea’s innovative demonstration activities are focused on operational services, ocean health and climate, where a dialogue between actors in the ocean observing systems will guide the development of the services.
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862626
The objective of BUGWRIGHT2 will be to bridge the gap between the current and desired capabilities of ship inspection and service robots by developing and demonstrating an adaptable autonomous robotic solution for servicing ship outer hulls. By combining the survey capabilities of autonomous Micro Air Vehicles (MAV) and small Autonomous Underwater Vehicles (AUV), with teams of magnetic-wheeled crawlers operating directly on the surface of the structure, the project inspection and cleaning system will be able to seamlessly merge the acquisition of a global overview of the structure with performing a detailed multi-robot visual and acoustic inspection of the structure, detecting corrosion patches or cleaning the surface as necessary – all of this with minimal user intervention. The detailed information provided will be integrated into a real-time visualization and decision support user-interface taking advantage of virtual reality technologies. Although ships are the targeted application, BUGWRIGHT2 technology may be easily adapted to different structures assembled out of metal plates, and in particular to storage tanks, our secondary application domain.
The project consists of a large consortium bringing together not only the technological knowledge from academia but the complete value chain of the inspection robotic market: two SMEs, one class society to evaluate the use of these technologies in the certification processes, a marine service provider and two harbors to provide access to ships, one shipyard to deploy the system within a maintenance framework and two shipowners. In addition, specialists in maritime laws and workplace psychologists will ensure that the digitalization of this market sector is designed around user acceptance. Finally, a specialist in innovation will lead the dissemination and exploitation activities.
Funded under: H2020-EU.2.1.1.
Grant agreement ID: 871260
Gliders for Research, Ocean Observations and Management: Infrastructure and Innovation
Underwater and surface drones, in particular gliders, have become essential vehicles to carry scientific payloads for most environmental observations from the surface down to 6000m and for activities supporting the blue economy. Their major advantages are being mobile, steerable, persistent and usable in large numbers and at relatively low costs. However, the distributed infrastructure required to exploit these assets must be able to meet different demands from research and monitoring of the marine environment, to public service missions and industry needs, requiring customised payloads and operations. The rapid evolution of such technologies (robotics, artificial intelligence, sensors, big data) requires that the R&D resources offered by this distributed infrastructure continuously adapt to users' demands. The complex hardware and information technology characteristics of such a distributed European infrastructure, optimizing access to resources and R & D for gliders, were analysed during the GROOM-FP7 design study from the perspective of research and the Global and (future) European Ocean Observing System (GOOS & EOOS) needs. Since then, several "gliderports" have developed which has fostered a corresponding European industrial innovative sector.
GROOM II, building on its predecessor, will deliver the decision basis for an advanced MRI that promotes scientific excellence, fosters innovation, support the blue economy, builds industrial and public partnerships, and works towards helping achieve the common research and innovation mission for future Europe. The project will define the overall organization of an infrastructure dedicated to ocean research and innovation, and maritime services supporting Blue Growth. This infrastructure will be a positive step against today's fragmented European landscape, aiding connections and synergies for the completion of GOOS and EOOS.
Grant agreement ID: 951842
Funded under: H2020-EU.188.8.131.52.
Overall budget: € 3 075 037,50
ASTRIIS - Atlantic Sustainability Through Remote and In-situ Integrated Solutions is a mobilizing project that aims to develop technical and scientific knowledge for the design and implementation of integrated and customizable information products and services, as well as their application and exploitation in sectors of the Sea Economy with high potential for development and value creation.
Parteners: Tekever | CoLAB +ATLANTIC | CEiiA - Centro de Engenharia e Desenvolvimento | Instituto Superior Técnico | Abyssal S.A | Hidromod | Spinworks | ISQ | WavEC | Universidade do Algarve | Universidade do Minho | Faculdade de Engenharia do Universidade do Porto | Oceanscan
In this project, CoMap - Cooperative Autonomous Multi-Vehicle Mapping System, we proposed to develop an end-to-end solution for bathymetric mapping with cooperative AUVs and ASVs. The overall objective is therefore to develop and commercialize innovative technologies for the Blue Growth sector. Furthermore, through the collaboration among OceanScan-MST (SME), the University of Porto in Portugal (academic institution) and Maritime Robotics (SME) in Norway, we strengthen the cooperation between enterprises and national research institutions, as well as the cooperation between Portugal and Norway.
Global Budget: 713.920,00 EUR
RaMP proposes the development and empowerment of low-cost autonomous air, surface and submarine vehicles for operations of prevention, monitoring, surveillance and response to marine pollution events. In conjunction with current numerical modelling tools, it aims to minimize the inherent costs to operations, increase their speed and facilitate the identification of polluting sources. Through the design and implementation of simple rapid sampling processes, this project aims to increase national capacity for monitoring and response to marine pollution while minimizing risks and safeguarding ecosystems, material assets and human lives.
Global Approved Budget: €166,272.75
The project will have a duration of 36 months, and will involve about 130 specialized resources. This project will result in eleven new products demonstrated in an operating environment, which together will provide a new service that, based on the complete integration of marine operations and their control from shore-based centers, will offer new visibility to them, making available and marketing information relevant to end users.
The project "OceanTech: Operations Management System based on Intelligent Robotic Vehicles for the Exploration of the Global Sea from Portugal" counts on the co-financing of COMPETE 2020 under the System of Incentives for Research and Technological Development - Mobilizing Programs, involving an eligible investment of EUR 8 million, which resulted in an ERDF incentive of EUR 5.7 million.
Our oceans are the least-explored region of planet Earth. Protection and sustainable development of ocean resources presents formidable challenges. Robots will play an increasingly key role in the near future and this role will expand and become more challenging as we extend into deeper, remote and hostile marine environments. Europe leads in many aspects of maritime, but lacks well integrated and coordinated oceanic robotic infrastructure or presence.
The marine-robotics industry is growing rapidly. It is a crucial high-value/high-cost sector with considerable entry barriers to R&D. The full growth potential of this industry will be greatly enhanced with access to shared robotic research infrastructure.
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.
Global Approved Budget: €4.998.736,70
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 731103.
EMSO-PT part of the large-scale European Network Research Infrastructure of fixed point, deep sea multidisciplinary observatories, with the scientific objective of real-time, long-term monitoring of environmental processes related to the interaction between the geosphere, biosphere and hydrosphere. It is a geographically distributed infrastructure to be located at key sites in EU waters, spanning the Arctic, the Atlantic and the Mediterranean, up to the Black Sea. Partnership: IMAR (Coordinator), CCMAR, CINTAL, FFC, INESC, IPMA, ISEP, IST, UA, UE, UP, UAc. People involved from CINTAL: S.M. Jesus.
The basic objective of EMSO-PT is to coordinate long-term monitoring of environmental processes using a European-scale network of open ocean observatories and platforms capable of reporting data to shore autonomously. EMSO-PT will underpin research on the interaction between the geosphere, biosphere, and hydrosphere and how these are related to climate change, marine ecosystems dynamics and geohazards
The top few millimeters of the ocean, where properties are most altered relative to deeper water, are often referred to as the sea surface micro-layer (SML). This thin layer holds properties and dynamics that differ considerably from the deeper ocean, and it is where a great variety of interactions between physical, chemical, biological and photochemical phenomena take place. Due to extreme conditions at the air-sea interface, the sea surface is believed to be the place where life on planet Earth has originated. The micro-layer is involved in the heat and momentum transfer between the ocean and atmosphere and plays a vital role in the uptake of greenhouse gases by the ocean
The objective of this project is to develop a modular autonomous surface vehicle (ASV), having the capability to sample the SML, and consequently, perform analysis of surfactant films and the biological communities residing within the micro-layer. This will be a unique vehicle in Portugal, and one of the first control-autonomous vehicles in the world to perform micro-layer sampling procedures. The vehicle will be able to interact and sample the micro-layer simultaneously with other underwater autonomous vehicles and airborne autonomous vehicles
Running from December 2017 to February 2021, MELOA is a H2020 project that is developing an innovative family of products, WAVY drifter units, allowing for a low-cost, easily deployable, high versatility, and low maintenance system for in-situ measurements for marine environments.
Focused on covering marine observation gaps, the WAVYs will increase the availability of in-situ data for coastal and open ocean zones. The MELOA project is developing the first prototypes for the different WAVY units configurations, and engaging with the marine community to test them in different marine environments, collecting and making available the data from the test campaigns and building, on top of this data, the first products and services to showcase the usefulness of the WAVY data.
MELOA Consortium is composed by 10 European entities working in close collaboration with the marine communities to develop solutions that will enable to tackle some societal challenges, namely those related in situ data collection for marine monitoring.
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement no 776825
The objective of this project is to develop AUVs with a continuous operation duration of more than 48 hours, which together with the ground station will establish a system with adaptive sampling implementation that will allow planning between high-level objectives defined by the operator and local adaptation performed on board the vehicle.
Hydrodynamic and propulsion improvements, use of new energy storage technologies and development of algorithms for planning and controlling the execution of operations that minimize vehicle consumption.