AI, Data and Robotics ecosystem

AI, Data and Robotics (ADR) is omnipresent in our daily lives and key to addressing some of the most pressing challenges facing our society.

Europe has excellent research centres, innovative start-ups, a world-leading position in robotics and competitive manufacturing and services sectors, from automotive to healthcare, energy, financial services and agriculture. While the essentials are present, European ADR is waiting for exploitation to achieve its full potential.

The ADR ecosystem is inherently complex because many stakeholders at many different levels require a holistic strategy towards collaboration to be effective and efficient.

The Adra Association, representing the private side of the ADR Partnership, leverages this diversity through its founding organisations (BDVA, euRobotics, CLAIRE, ELLIS, EurAI) and channels it to the benefit of the European ecosystem.

The Adra-e CSA proposal is set up in close liaison with Adra Association and includes it as a partner, committed to sustain its outcomes.

Adra-e should be seen as the operational arm of the partnership to foster collaboration, convergence and interoperability between communities and disciplines to advance European ADR while safeguarding the interest of European citizens.

This is achieved by supporting the ADR Partnership in the update and implementation of the SRIDA, creating the conditions for an inclusive, sustainable, effective, multi-layered, and coherent European ADR ecosystem, leading to increased trust and adoption of ADR, a more competitive supply and demand sides in the EU and raising private investments at the same time.The consortium is composed of leading industry and research organisations with significant expertise in all three disciplines.

All are involved in Adra and the associations and partnerships shaping European research.

Many of them are supporting the Digitising European Industry initiative from the EC participating in the constitution of Digital Innovation Hubs Network and Digital platforms.