Innovation in the automotive industry is of pivotal importance for European´s prosperity. OSEM-EV will provide solutions for better autonomy and predictable range to address today´s car buyers concern about electro mobility. Just increasing the battery capacity is not a viable option because the expectation is to have a familiar level of comfort and safe, eco and human oriented mobility at affordable costs. OSEM-EV will translate the foreseen project innovations into a customer value proposition. The highest priority is improved mileage and predictable range without adding further cost and weight. The negative impact of high and low ambient temperatures will be limited. Cars autonomy will be increased due to a reduction of at least 50% of energy used for passenger comfort and at least 30% for component cooling in extreme conditions compared to current FEVs. The consortium will focus on thermal and coupled electro-thermal energy substitution and harvesting and smart energy usage for cooling and heating of the passenger compartment and in-car infrastructure. OSEM-EV goes for novel electro-thermal architectures and control algorithms including thermal insulation, thermal storage, innovative heating and cooling approaches applied to the powertrain (battery, inverter and motor), battery life duration enhancement as a side effect of thermal management, electronic control of energy and power flows, energy efficiency of electrified accessories, energy substitution and harvesting functions. The consortium will take a radical approach, which does not only rely on improving the efficiency of subsystems but also focuses on their interoperability. By creating an electro-thermal network, most of the energy shall be reutilized, no matter if stored in mechanical, electrical or thermal form.

The rapid advancement of autonomous vehicle technology promises enhanced efficiency and safety in transportation. However, operational constraints within Operational Design Domains (ODDs), including issues in sensing, behaviour prediction, and reliability, limit the potential of automated vehicles. Expanding the ODD framework is critical to enable these vehicles to navigate challenging scenarios like construction zones, unmarked roads, and adverse weather conditions. This expansion involves robust perception and decision-making algorithms, reducing the need for human intervention and facilitating integration with human-driven vehicles. While the benefits are substantial, challenges like data collection, sensor technology, and regulatory frameworks must be addressed through interdisciplinary collaboration. The iEXODDUS project is at the forefront of advancing digital technologies and navigation services, aligning with goals for increased safety, security, and sustainability in the mobility sector, ultimately paving the way for safer and more reliable automated transportation. iEXODDUS shall meticulously assess existing ODDs to unveil limitations and areas for improvement, fostering a deep understanding of ODD challenges and opportunities. This analysis serves as the foundation for a framework to assess and categorize ODDs across diverse automated driving scenarios. A key focus area is the enhancement of sensor technologies and perception capabilities through cutting-edge data fusion methods, expanding ODDs beyond current limits while considering environmental factors like weather conditions and road infrastructure. iEXODDUS envisions autonomous vehicles travelling across Europe, resolving harmonization and legal issues, and making policy recommendations. Collaboration with industry stakeholders and aiming for real-world demonstrations will enable an industry-tailored approach towards automated driving systems with extended ODDs.

The proposed SOSLeM project will contribute to the call objectives by improving production processes as well as developing and applying novel manufacturing technologies for FC stacks. The improvements proposed by the project will sum up to a reduction of manufacturing costs of about 70%, leading to decreased capital cost of about 2.500 €/kW. Besides these outstanding economical and technical improvements, production material will be spared and environmental benefits will be realized. Specifically, the project will: - Develop new and optimized processes for cassettes production, by avoidance brushing of cassettes, improved sealing adhesion on cassettes, automation of welding, lean manufacturing processes and anode contact layer laser welding, - Improve stack preparation, by advanced glass curing and stack conditioning and improved gas stations, - Enable environmental benefits by Cu-based instead of Co-based powder and evaluation of On-site Nickel removal from waste water - Reduce production time and costs and improve flexibility, by large furnace arrangement, introduction of a multi-stack production station, examination of substituting Co-based powder by Cu-based power, Examination of partially substituting Co-based powder by enamel coating and simultaneous sintering.

Food security is a global challenge and is impacted by, rapidly compounding effects including climate change, supply chains, human labour shortages, driving the need for traceability, and technological innovation and automation to name a few. The latest important price increases of agricultural row products show the limitations of the available resources. Through this Joint Undertaking, the AGRARSENSE consortium of 57 partners (including 4 affiliates) plan to take agricultural technology and productivity to the next level, beyond the State-of-the-Art, by combining some of the most advanced organisational capabilities from across European industrial 16 Large Enterprises, 25 SMEs and 16 Research & Technology Organisations (RTOs), from 15 countries. The development of the most advanced sensory and autonomous agricultural capabilities requires a sophisticated governance structure, ensuring that all partners are aligned across Use Cases and Work Package deliveries. The AGRARSENSE consortium has one of the world’s leaders in Forestry automation, Komatsu, as Project Coordinator. The AGRARSENSE project goal of creating a holistic ecosystem of sensory and automated capabilities will further extend Europe’s lead in optimizing and securing agricultural value chains. To drive such an ambitious impact agenda, we have selected seven Use Cases which will, collectively, contribute to solving the challenges outlined. These Use Cases are Greenhouses (UC1), Vertical Farming (UC2), Precision Viticulture (UC3), Agri robotics (UC4), Autoforest (UC5), Organic Soils & Fertilizers (UC6) and Water (UC7). These Use Cases are fused together by the most advanced hardware, software and system integration technologies, which will drive new solutions for partners and the collective AGRARSENSE impacts at scale.

PLIADES advances the SoA dataspaces reference architectures, towards a step change on the use of data as key enabler of technological advances in AI and Robotics. To this end, PLIADES researches into novel, AI-enabled tools to advance full data life cycles integration, both within and between data spaces. Sustainable data creation methods through data compression, filtering and normalization will be developed, to allow efficient and greener storage in a data-oriented future. Data privacy and sovereignty will be further ensured, through standards and decentralized protocols to protect data-producing organizations and citizens. Alongside, data sharing will be revolutionized through novel AI-based brokers and connectors using extended metadata, shaped through the project’s best practices and domain expert’s knowledge. On top of these, active data discovery services through cross domain AI connectors will allow creating linked data spaces, enabling interoperability between previously disconnected entities, while data quality assessment services will facilitate real time data evaluation. Extended synergies with EU initiatives will be established in order to contribute models, strategies and technologies for a Common European Data Space. Our outcomes will be evaluated in six use cases focusing on direct advancements in key AI and Robotics technologies for everyday use, oriented around multiple data spaces; mobility, healthcare, industrial, energy and green deal. Our use cases provide a challenging validation suite involving vast heterogeneous data creation, management and sharing while addressing full data lifecycles in multiple major domains. Through the developed ecosystem, CCAM and ADAS/AD car technologies will be enhanced, HRI for robot operators and healthcare patients will be reshaped, while further advanced, integrated data spaces will be deployed in the healthcare, manufacturing and green deal sectors aiming to reduce carbon footprints and shape a greener future.