Mechatronics and autonomous systems research group

The project aims to advance Electric Propulsion Drive System (EPDS) Digital Twin (DT) technology for Software Defined Electric Vehicles (SDEVs), with a focus on achieving DT adaptive and intelligent levels. It addresses the need for efficient testing and evaluation of electric propulsion systems in line with EU clean energy transition goals. Leveraging the rapid development of DT technology, the project seeks to contribute to SDV technology through enhanced modeling, data gathering, IoT integration, and system optimization. Key challenges include lifecycle management, data processing, and real-time communication between physical and virtual systems. The project encompasses advanced modeling, data gathering, IoT, and communication infrastructure, system integration, optimization, and technology demonstration.

The CROSS project aims to strengthen the European Research Area by developing innovative tools to mainstream the new Charters´ principles, fostering organisational change and career interoperability. Key outputs include a Self-Assessment Competence Tool, a comprehensive Roadmap for transversal skills training, a Mentoring Handbook, a Roadmap for career counseling, an Intersectoral Collaboration Handbook, and an HRS4R Repository. These form a comprehensive set of career management services, which will be piloted and implemented across four intersectoral networks. The development of these resources will follow a co-creative process, engaging stakeholders across Europe, facilitated through the creation of our ResearchComp Community of Practice. This approach ensures their adaptability to diverse European ecosystems. A key component of CROSS is the creation of a platform designed to support institutions in obtaining the HRS4R award. This platform can also serve as a shared resource for all projects funded under this call, ensuring their continued use and expansion beyond the project’s lifecycle. By promoting organisational change, CROSS will benefit research-performing organisations and researchers at all career stages, significantly improving career prospects and delivering broader societal impact.

This project aims at enhancing expert workforce and digitalization in the field of fault diagnosis, condition- based maintenance of wind turbines and related components in the partner institutions by bringing innovation in higher education teaching and learning methods in wind energy and applied artificial intelligence for maintenance decisions, increasing its relevance for the labour market and the society as a whole. The project will help partners in Vietnam and Thailand to produce in-house human resources in the field of condition-based maintenance of wind energy, making both the countries independent of external consultants. The main objective of the project is to implement real problem-based teaching and learning methods in the curriculum of higher education institutions (HEIs) of the partner countries. The expertise and know- how of the EU partner universities and their long- term teaching and research in this field would make this project objective achievable. Moreover, this project will build the capacity to produce graduates with independent, global insight, interdisciplinary expertise, competence in wind energy, and intercultural expertise. The project will also help the EU partners to renew their education in renewable energy and build a sustainable flow of students in both directions.