Recent events have demonstrated the need for readiness for medical supply and equipment rapid manufacturing repurposing. Eur3ka will deliver a trusted and unique capability to plug and collectively respond to a sudden demand increased in a coordinated and effective manner at unprecedented scale. Eur3ka mission is to bring together most recent R&I results in (1) Industry 4.0 standards, open automation modular manufacturing production line enablers; (2) industrial international common data space enablers and digital infrastructures; (3) global on-demand and manufacturing as a service platforms; (4) connected and smarter supply networks, and global medical supplies and equipment repositories; (5) the vibrant European and Global network of manufacturing DIH network innovation services and open experimental facilities. The main ambition of Eur3ka is to enable and facilitate global and fair access to (1) a Plug & Respond (P&R) repurposing resource coordination framework for pandemic crisis response, (2) a common open standardized modular manufacturing reference architecture and solutions, and (3) top digitally sovereign cross-sectorial manufacturing networks and capacities that should allow to connect global manufacturing and supply chain capabilities and medical knowledge on-demand and as-a-Service across the globe in an IP-responsive manner to ensure rapid manufacturing repurposing for an increased and sudden demand of medical supplies and equipment. Eur3ka builds and extends the existing Global Network of Advanced Manufacturing Hubs (AMHUBs) to leverage a comprehensive COVID response based on solid socio-tecno-economic pillars that bring together advanced manufacturing and digital enablers that will raise robustness, redundancy, resourcefulness, response, and recovery against current and future pandemics. Eur3ka vision builds on and accelerate current digital transformation industry 4.0 efforts, as well as flexible regulations and tailored workforce re-/up- skilling

The robots of tomorrow will be endowed with the ability to adapt to drastic and unpredicted changes in their environment including humans. Such adaptations can however not be boundless: the robot must stay trustworthy, i.e. the adaptations should not be just a recovery into a degraded functionality. Instead, it must be a true adaptation, meaning that the robot will change its behavior while maintaining or even increasing its expected performance, and stays at least as safe and robust as before. RoboSAPIENS will focus on autonomous robotic software adaptations and will lay the foundations for ensuring that such software adaptations are carried out in an intrinsically safe, trustworthy and efficient manner, thereby reconciling open-ended self-adaptation with safety by design. RoboSAPIENS will also transform these foundations into 'first time right'-design tools and robotic platforms, and will validate and demonstrate them up to TRL4. To achieve this over-all goal, RoboSAPIENS will extend the state of the art in four main objectives. 1. It will enable robotic open-ended self-adaptation in response to unprecedented system structural and environmental changes. 2. It will advance safety engineering techniques to assure robotic safety not only before, during and after adaptation. 3. It will advance deep learning techniques to actively reduce uncertainty in robotic self-adaptation. 4. It will assure trustworthiness of systems that use both deep-learning and computational architectures for robotic self-adaptation. To realise these objectives, RoboSAPIENS will extend techniques such as MAPE-K (Monitor, Analyze, Plan, Execute, Knowledge) and Deep Learning to set up generic adaptation procedures and also use an SSH dimension. RoboSAPIENS will demonstrate this trustworthy robotic self-adaptation on four industry-scale use cases centered around an industrial disassembly robot, a warehouse robotic swarm, a prolonged hull of an autonomous vessel, and human-robotic interaction.

Research infrastructures (RIs) operate in complex innovation ecosystems where industry plays an increasingly important role. Pan-EU initiatives, such as the Innovation Union or the European Strategy Forum on Research Infrastructures, revolutionise the way public and private sectors work together, and help to create structural frameworks which are needed to foster such collaborations. While initiatives of this type play a crucial role in enabling industry to become a full partner of research infrastructures whether it is as a user, a supplier, or a co-creator, they do not fully utilise or engage Industrial Liaison and Contact Officers (ILOs/ICOs) which could have a central role in boosting the RI-industry partnerships. To address this gap, ENRIITC will build a permanent pan-European network of ILOs and ICOs. This will be done in a community-driven, cross-functional, cross-sectoral, multiplier-based way which will be inclusive and enable all interested parties to actively participate. By supporting the establishment of strategic, cross-border partnerships between industry and research infrastructures, ENRIITC will enable win-win results for all parties. With a timeline of 36 months, 11 partners from seven countries, and a strong support from 61 Associates from around Europe, ENRIITC will 1) establish a sustainable European network of ILOs and ICOs which enables mutual learning, 2) map collaboration potential between research infrastructures and industry, 3) develop and refine strategies and best practices to foster these collaborations, 4) raise awareness among industry for collaboration opportunities at research infrastructures, and demonstrate impact. The consortium and Associates will jointly balance the need for expertise from diverse scientific areas, combine it with practical insights from establishing relations with various industries operating in different sectors and geographical contexts, and propagate it among their networks.

ENFIELD will create a unique European Centre of Excellence that excels the fundamental research in the scientific pillars of Adaptive, Green, Human-Centric, and Trustworthy AI that are new, strategic and of paramount importance to successful AI development, deployment, and acceptance in Europe and will further advance the research within verticals of healthcare, energy, manufacturing and space by attracting the best talents, technologies and resources from world-class research and industry players in Europe and by carrying out top-level research activities in synchronisation with industry challenges to reinforce a competitive EU position in AI and create significant socio-economic impact for the benefit of European citizens and businesses. ENFIELD will develop, maintain, scale-up and sustain a vibrant European network on AI composed of 30 consortium members from 18 countries, including top-level education and research organisations, large scale businesses, SMEs, and public sector representatives jointly addressing critical issues of research and innovation frontiers in this new topic of the European AI Lighthouse. ENFIELD will provide high impact outputs such as >75 unique AI solutions (algorithms, methods, simulations, services, data sets and prototypes), 180 scientific high-impact publications and 200 peer-reviewed presentations, four strategic documents, namely the Common Research Roadmap and Vision, the dynamic Safety and Security Risk Assessment Framework, the White Paper and the Gender and Ethics Framework. The exchange and innovation schemes planned in Open Calls, which will grant financial support to >76 individual researchers and 18 small-scale projects, education, and training activities such as summer schools and hackathons, and a set of well-designed outreach methods and activities will further contribute to the ENFIELD community engagement, enlargement, and continuity.