Mechatronics and Autonomous Systems Research Group
Mechatronics is one of the most dynamic technical trends in the world and represents the synergy of IT, electronics, optics, and mechanical systems. The research activities of the Mechatronics and Autonomous Systems Research Group are directed at the further development of the field.
The Mechatronics and Autonomous Systems Group's research activities focus on further development of mechatronics and autonomous systems. Modern vehicles (including various electric vehicles, e.g., electric cars, unmanned land, and aircraft) also require energy efficiency optimization. The research team is developing several test platforms and digital twins to achieve this goal. The possibilities of combining real and virtual sensors with artificial intelligence are being explored to prolong the working life of vehicles and reduce the risk of failure.
Additionally, the main focus of R&D is the development of hardware and related software based on artificial intelligence for robotics and automation control systems and developing user interfaces for systems, sensing, and especially new machine vision applications. The emphasis is on industrial robotics and the development of unmanned aerial vehicle (UGV) and unmanned aerial vehicle (UAV) systems, as well as hardware-in-the-loop simulation and test systems.
The mechatronics and autonomous systems research group offer expertise, consultations, training, and research partnerships.
 Tenured Associate Professor Programme Director ( Mechatronics - English), Programme Director (Electrical Engineering and Mechatronics) |
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DIGITAL TWIN FOR PROPULSION DRIVE OF AUTONOMOUS ELECTRIC VEHICLE
Autonomous driving is no longer just an idea of technology vision, instead a real technical trend all over the world. The continuing development to a further level of autonomy requires more from energy optimization. The optimization of electric propulsion drive systems of self-driving electric vehicles by using autonomous and monitoring sensors are not often discussed. The goal of the proposal is to develop a specialized unsupervised prognosis and control platform for such energy system performance estimation. This goal requires the development of several test platforms and digital twins. A digital twin is composed of three components – the physical entities in the real world, their virtual models, and the connected data/view that ties the two worlds together.
01.01.2020–31.12.2024
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Retraining of Fossil Fuel Mining Area Workforce for Modern Industry
Taking into account the relatively low automation and robotization of the traditional fossil fuels industry, a significant retraining is necessary for the workforce in transition to modern technological industrial sectors. This has to be done, in order for the potentially available workforce to meet the needs and requirements set by the modern mechatronics oriented industry, which actively implements the Industry 4.0 ideology. To meet those requirements, the project proposes retraining courses for the soon-to-be-available workforce. The topics covered by the retraining are electrical drives, automation, robotics, power electronics, and condition monitoring of industrial systems. These separate fields are strongly interconnected and overlapping, and together with the connection point of IT technologies, they can be considered the main technological pillars of modern mechatronics oriented industry.
01.11.2021 - 01.11.2024
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Development of a test bench for wheel testing including the associated digital twin
This project is a side project of the superior research project that has been supported by the Estonian Research Council under grant PSG453, "Digital twin for propulsion drive of an autonomous electric vehicle". It is conducted by the TalTech Mechatronics and Autonomous Systems Research Group. So far, the vehicle's drive but not the wheels' properties have been considered for the development of the digital twin. The task of this sub-project is the development of a test bench for wheels with the associated simulation. The influence of the different properties of wheels on the entire vehicle should be simulated as realistically as possible. Additionally, this project includes knowledge exchange and laboratory visits both in Germany and Estonia. The aim is to popularize knowledge among young people, introducing digital twins to aspiring engineers.
01.06.2023–15.11.2023
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The lab offers machine vision systems development, expertise, consultancy, research partnerships as well as training.
Keywords: machine vision; image processing; robotics; industrial automation; expertise; training.
Contact: Daniil Valme
daniil.valme@taltech.ee
The e-Vehicles laboratory provides calculations, modelling, testing, development, expertise, consultancy, training, and research partnerships for electric drives.
Keywords: electric drives; motor control; electric vehicles; expertise; training.
Contact: Anton Rassõlkin, Viktor Rjabtšikov
anton.rassolkin@taltech.ee, viktor.rjabtsikov@taltech.ee
Keywords: industrial robotics; robot; training; robotics; robotics, robotics, robotics, industrial
robotics, robotics, robotics, robotics, robotics.
Сontact: Anton Rassõlkin
anton.rassolkin@taltech.ee
We offer prototyping, workshops, and research partnerships.
Keywords: 3D printing; soldering; prototyping.
Contact: Viktor Rjabtšikov, Martin Sarap
viktor.rjabtsikov@taltech.ee, martin.sarap1@taltech.ee