MOBILEurope seeks to improve expertise in the field of industrial relations, to builds on and contributes to following dimension of knowledge: employment, working conditions and social protection of frontier, seasonal and migrant workers under the COVID 19 crises and social dialogue and collective bargaining in this regard.

A Agenda Mobilizadora TEC4GREEN visa preparar o setor agroindustrial (alimentar e florestal) para os desafios futuros, tecnológicos e ambientais, minimizando o impacto ambiental (solo, água e atmosférico), e promovendo a sustentabilidade do setor. The TEC4GREEN Mobilizing Agenda aims to prepare the agro-industrial sector (food and forestry) for future technological and environmental challenges, minimizing environmental impact (soil, water, and atmospheric) and promoting the sustainability of the sector.

MODUL4R proposes a holistic framework applicable both to new and existing manufacturing lines to achieve flexibility, rapid responsiveness, and sustainability. MODUL4R will be demonstrated in specialized mould manufacturing for the automotive sector, CPPS for flexible & modular assembly of PCBs, and tools manufacturing for the aerospace.

FAME is a joint effort of world-class experts in data management, data technologies, the data economy, and digital finance to develop, deploy and launch to the global market a unique, trustworthy, energy-efficient, and secure federated data marketplace for Embedded Finance (EmFi). The FAME marketplace will alleviate the proclaimed limitations of centralized cloud marketplaces towards demonstrating the full potential of the data economy.

AGILEHAND aims at developing advanced technologies for grading, handling and packaging autonomously soft and deformable products, as a strategic instrument to improve flexibility, agility and reconfigurability of production and logistic systems of the European manufacturing companies. The AGILEHAND Solutions will be demonstrated in 4 industrial pilots that differ in characteristics of the surface, deformability, and consistency of the products to be handle.

XpanDH aims at mobilizing and building capacity in individuals and organisations to create, adapt and explore purposeful use of interoperable digital health solutions based on a shared adoption of the European Electronic Health Records Exchange format across Europe. It's main goal of maturing and accelerating a sustainable and scalable interoperability environment for digital health innovations based on the EEHRxF.

TeleRehaB DSS targets the promotion of AI adoption in everyday clinical practice for balance rehabilitation training. An AI-based decision support system (DSS) will be developed expanding upon the existing Augmented Reality (AR) rehabilitation training platform, with its balance exercises, exergames, cognitive training and remote patient monitoring with wearables and IoT devices from HOLOBALANCE project (TL6), to provide suggestive feedback for experts through the entire clinical rehabilitation pathway.

The AIDEAS project is developing a series of AI technologies to support this endeavour focusing on four core elements: design, manufacturing, use and repair/reuse/recycling. The proposed solutions will be tested and validated in four pilots involving manufacturers that provide industrial equipment to the metal, stone, plastics and food sectors. AIDEAS will develop AI technologies for supporting the entire lifecycle (design, manufacturing, use, and repair/reuse/recycle) of industrial equipment as a strategic instrument to improve sustainability, agility and resilience of the European machinery manufacturing companies.

This project aims to address several scientific and technological challenges towards the use of shuttle drones to perform launch and capture maneuvers of other vehicles or objects. A first scenario is considered where the shuttle drones cooperate with the vehicles to be launched or captured, either relaying information about their planned motion or actively synchronizing.

The rising decentralization of the energy system is unveiling an enormous opportunity for energy stakeholders to leverage on big data & AI technologies to improve decision making. There are however some barriers hampering the exploitation of this potential, such as the lack of standardized big data architectures for smart grids and regulatory frameworks not enabling data sharing.