The main objective of DeeperSense is to significantly improve the capabilities for environment perception of service robots to improve their performance and reliability, achieve new functionality, and open up new applications for robotics. DeeperSense adopts a novel approach of using Artificial Intelligence and data-driven Machine Learning / DeepLearning to combine the capabilities of non-visual and visual sensors with the objective to improve their joint capability of environment perception beyond the capabilities of the individual sensors. As one of the most challenging application areas for robot operation and environment perception, DeeperSense chooses underwater robotics as a domain to demonstrate and verify this approach. The project implements DeepLearning solutions for three use cases that were selected for their societal relevance and are driven by concrete end-user and market needs. During the project, comprehensive training data are generated. The algorithms are trained on these data and verified both in the lab and in extensive field trials. The trained algorithms are optimized to run on the on-board hardware of underwater vehicles, thus enabling real-time execution in support of the autonomous robot behaviour. Both the algorithms and the data will be made publicly available through online repositories embedded in European research infrastructures. The DeeperSense consortium consists of renowned experts in robotics and marine robotics, artificial

The main aim of the project is to contribute to accelerating the shift to safe use of sustainable climate neutral fuels in waterborne transport through a full scale on board operational demonstration of a new system powered by hydrogen fuel cells with maritime applications. An international consortium of top-notch entities covering the whole innovation value chain will develop, validate and demonstrate a new zero emission passenger ship powered by hydrogen and the associated hydrogen distribution, storage and bunkering solution. The ship will be specifically designed to operate in the Adriatic Sea, which is known for its pristine environment and sensitive marine ecosystems. The commissioning and validation in the operational environment through sea trials will be performed to ensure compliance with certification authorities. Emissions assessment, environmental performance studies, risk and safety assessments will be performed on the new system. Advanced digital technologies, including digital twin for monitoring, control and simulation and predictive maintenance solution enhanced with augmented reality systems, will also be developed, documented, tested and optimized during the project for ship owners, operators, shipyards and associated engineering firms. Finally, a detailed feasibility assessment and business planning will be developed to establish commercialisation and scalability opportunities. A successful realisation of the project will facilitate the wider adoption of sustainable climate neutral fuels within the European maritime transport sector in line with the Green Deal objectives, contributing to its efficiency, safety, resilience and international competitiveness.

The untapped potential of wave energy emerges as a promising horizon projected to reach up to 1,800 TWh per year in Europe. However, full operational conditions of a wave energy farm are required to improve market confidence and increase the bankability and insurability of wave energy commercial projects. In this context, ONDEP aims at setting up a 2MW farm composed of 4 WaveRoller units connected to the grid in Peniche, Portugal. This will leverage +10 years of experience at this site - including two years of full-scale demonstration of the patented and certified WaveRoller unit (2019-2021). Over five years and a half, ONDEP aims at emulating the needs and technical challenges of future extra large-scale wave farms, while establishing a complete end-to-end European supply chain for GW-scale deployment in Europe. It also includes the first comprehensive environmental analysis spanning several decades for wave energy production. ONDEP is a pathway to scale up wave energy farms: in the short term and by 2030, the project expects to unlock 11 farms in 8 countries across 4 continents, with a cumulative 83 MW capacity (MoUs and support letters already signed) and a GWP <25 gCO2eq/kWh. Beyond 2035, the expected LCOE (<100€/MWh) will pave the way towards a sustainable blue economy creating up to 500,000 jobs in Europe. To achieve its ambitious goals, ONDEP involves 9 countries and 14 leading organisations covering the whole end-to-end value chain of the wave energy sector.