Petrozavodsk State University is the winner of the grant competition of the Ministry of Education and Science of Russia

Petrozavodsk State University became the winner of the competition for grants from the Ministry of Science and Higher Education of the Russian Federation for scientific research by Russian scientific organizations and (or) educational institutions of higher education in conjunction with organizations of the Nordic countries within the framework of ensuring the implementation of the program of bilateral and multilateral scientific and technological interaction.
The result of winning the competition is the receipt of funding for the implementation of the project “Software and hardware methods of sensing and machine perception for robotic systems with autonomous movement.” The scientific research is carried out by PetrSU together with foreign scientific partners from Sweden and Finland.

The project manager, author of the idea and application for participation in the competition is D.Zh. Korzun, Candidate of Physical and Mathematical Sciences, Associate Professor of the Department of Informatics and Mathematical Support, Deputy Director of the Center for Artificial Intelligence of PetrSU for Science.

Under the terms of the competition, the project is being implemented jointly with foreign partners: Linköping University, Sweden (, Prof. A.V. Gurtov) and FRUCT Association, Finland (https: //, associate professor S.I. Balandin).

On the basis of the Center for Artificial Intelligence of PetrSU, teams have been formed that implement applied research and development in the field of sensing technologies of the tactile Internet and methods of machine perception of the external environment for robotic systems with autonomous movement. The result of the teams’ work by the end of 2021 should be 6 hardware and software prototypes demonstrating the use of artificial intelligence technologies for the development of “smart” components of robotic systems. In 2022, it is planned to further develop these prototypes and create on their basis full-fledged products demanded by the market. Based on the results obtained during the implementation of the project, scientific articles of the international level will be prepared (indexing in the Scopus and WoS databases) and applications for patents will be submitted.

The key executors and leaders of the project teams are L.V. Shchegoleva (Professor of the Department of Applied Mathematics and Cybernetics, Doctor of Technical Sciences), O. N. Galaktionov (Head of the Department of Technology and Organization of the Forestry Complex, Doctor of Technical Sciences), S.A. Zavyalov (head of the laboratory of autonomous systems), M.A. Belyaev (researcher of the department of information-measuring systems and physical electronics), A.A. Velichko (Associate Professor of the Department of Electronics and Power Engineering, Ph.D.), O.Yu. Bogoyavlenskaya (Associate Professor of the Department of Informatics and Mathematical Support, Ph.D.), A.V. Semenov (Head of the Department of the Central Institute of Information Technologies, Associate Professor of the Department of Information and Measuring Systems and Physical Electronics, Ph.D.), A.G. Marakhtanov (director of the Center for Artificial Intelligence).

An important part of the project is the inclusion of its results in the educational process and the active involvement of students and graduate students in implementation. It is planned to modernize educational programs, conduct internships on the basis of the CII, as well as conduct individual studies of the project as part of the implementation of coursework, FQP and master’s theses by the students of the university.

It is expected that the implementation of the project will contribute to the development of a team of university scientists, the involvement of students and graduate students in science, the development of areas related to robotics and artificial intelligence at PetrSU, the development of a software and hardware base for experimental research using peripheral sensor systems of the Internet of Things of various types and for recognition in digital data of various types coming from the physical, virtual (information) and social worlds.