Mechatronics and autonomous systems research group

Members

Head of the research team

Publications

Journal / Periodical: IEEE Transactions on Intelligent Vehicles
Authors: Gilbert Zequera, Rolando Antonio; Rjabtšikov, Viktor; Rassõlkin, Anton; Vaimann, Toomas; Kallaste, Ants
Year: 2025
Journal / Periodical: Digital Twins and Applications
Authors: Ibrahim, Mahmoud; Rjabtšikov, Viktor; Rassõlkin, Anton
Year: 2025
Journal / Periodical: Przegląd Elektrotechniczny / Electrical Review
Authors: Veg, Lukas; Jeleń, Michał; Rassõlkin, Anton; Stępień, Mariusz; Zygmanowski, Marcin
Year: 2025

Projects

Year: 2025 - 2029
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.
Year: 2023 - 2029
The challenge in modern industry is to find the best ways for human-robot interaction in workplaces, enabling robots to realize optimal solutions by combining AI and human capabilities. The project's goal is to contribute to the automation of company production processes, focusing on the social and psychological aspects of human-robot collaboration to ensure that human workers in the industry feel safe and satisfied. Research directions include: - creating a collaborative robotics experimental lab - designing robotized workplaces - modelling of human-robot interaction, assessments and analysis of influencing factors and risks. Expected results are methodologies and validated human-robot interaction models, skills for their implementation, impact factors and risk assessments, a developed laboratory with hardware, software and expertise; providing user-centred design solutions services. All of this leads to safer human-robot interactions, increasing user trust in robotic systems.
Year: 2023 - 2029
The Engineering Academy is a project initiated by the Ministry of Education and Research and funded by the European Social Fund, with the goal of improving the quality of engineering education and reducing the labor shortage in technical fields. The project is led by the Education and Youth Board and is joined by five higher education institutions. The Engineering Academy includes 22 engineering-related study programs, of which ten have been selected as priority focus programs for development. The project has three focus areas: • Increasing the number of applicants • Improving the quality of education and Increasing alignment with labor market needs • Reducing dropout rates The Technical University has set a goal to increase admissions in the field of engineering by 15% each year. To improve the quality of education, the action plan includes a significant expansion of project-based and problem-based learning, curriculum development, quality enhancement, and infrastructure upgrades. Additionally, lecturers’ training and the recruitment of teaching assistants are planned. To reduce dropout rates, individual support for students will be increased, both during the first year and when completing their final theses. First-year students will also be offered additional mathematics courses. The goal is to significantly reduce dropout rates and increase the number of graduates.

Recognitions

Included in Stanford University and Elsevier’s list of the Top 2% Most Influential Scientists Worldwide (Single Year) based on citation metrics (2024 edition)
2025
Included in Stanford University and Elsevier’s list of the Top 2% Most Influential Scientists Worldwide (Single Year) based on citation metrics (2023 edition)
2024
Technical Student of the Year, Estonian Association of Engineers
2024