The project began in January 2021 with a focus on the setup of the consortium and in particular with recruitment of the early stage researchers (ESRs), which was finalized in spring 2022. All 15 ESR candidates were selected before autumn 2021, and an online kick-off event was organized on November 17, 2021 to present the whole Consortium and the ESRs to each other. In the first months, the work of all ESRs was devoted to literature research and studying to reach the state of the art of their respective domains.
Each ESR began working on specific research topics aimed at novel solutions, with early results submitted to journals and international conferences. ESRs engaged in laboratory work, discussion groups, and secondments, including with industrial partners. The consortium also introduced a group of eight associated PhD fellows, fully integrated into the network.
Over the course of the project, the network organized four seasonal schools, four workshops, and two Advisory Board meetings, which brought together ESRs, supervisors, and external experts to support training, collaboration, and dissemination.
Scientific progress included the development of new algorithms in optimization-based control, robust learning, symbolic feedback stabilization, mixed-integer optimization, and physics-informed modeling. Applications ranged from autonomous vehicles and hydraulic systems to robotic manipulators and temperature control units. Several methods were demonstrated on real systems and released as open-source tools.
The project produced over 100 scientific publications, six open-source software packages, and multiple high-TRL demonstrators. Results were disseminated through international conferences, a public website, professional videos, and social media. Exploitation activities included industry-oriented secondments, software transfer, and integration into experimental platforms.
As of June 2025, five ESRs have defended their theses, and the remainder are on track for defense by mid-2026. The project has successfully met its objectives in research, training, and real-world impact.
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https://elo-x.eu/(se abrirá en una nueva ventana) for more information about the ELO-X fellows' results, news of their progress, and information about the events organized by the network.
