Translation. Region: Russian Federal
Source: Peter the Great St. Petersburg Polytechnic University –
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Peter the Great St. Petersburg Polytechnic University has won a grant from the Ministry of Science and Higher Education of the Russian Federation to conduct scientific research jointly with Huazhong University of Science and Technology (Wuhan, China).
The project “Advanced technologies of interactive multi-agent interaction and control for an intelligent cyber-physical system under conditions of uncertainty for transport systems” is led by Vyacheslav Shkodyrev, Director of the Scientific and Technological Complex “Mathematical Modeling and Intelligent Control Systems”.
The main objective of the project is to improve the efficiency of group control of the interaction of distributed industrial unmanned vehicles, as well as their autonomous operation, using new methods and models of multi-objective optimization based on the concept of intellectualization of cyber-physical systems with the architecture of interacting cognitive-learning agents to achieve a common strategic control goal.
As technology advances, the application of intelligent cyber-physical systems is becoming more widespread in such industries as smart transportation, industrial automation, manufacturing logistics, etc. However, in complex and unknown environments, these systems face a number of limitations, including insufficient autonomous intelligence, unbalanced task distribution, low collaboration performance, and limited rational decision-making capabilities. Scientists will work to address these and other issues to provide technological support for the efficient operation of intelligent cyber-physical systems.
It is planned to use the advantages of the two universities in research on interactive technologies of multi-criteria search and control, in particular in research on the operation of intelligent cyber-physical systems under uncertainty. One of their tasks is to optimize large language models using data obtained from jointly developed adequate simulation models in combination with real data. This should ensure the generation of effective decompositions into subtasks and more accurate schemes for distributing complex tasks, which, together with cognitive control methods, will lead to the formation of safe and effective schemes for autonomous planning and control when performing multiple tasks.
This is important for the intellectual development of vehicle control systems in industrial and other conditions. The practical significance of the project also lies in the fact that its results can be used not only in industry, but also to ensure public safety and in the elimination of the consequences of natural disasters.
The project is designed for 2.5 years. Scientists plan to combine their knowledge in the field of artificial intelligence and control to create innovative solutions in the field of unmanned transport.
This grant is an important victory that opens up new opportunities for international collaboration. The implementation of the project will allow us to combine the advanced scientific approaches of the two countries to develop innovative solutions in the field of industrial unmanned transport systems management, – commented Vice-Rector for Research Yuri Fomin.
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