Belgorod scientists from the Shukhov University have developed an advanced program that helps optimally select and configure robots for collaborative work. This system, designed for robotic groups, automatically selects robots to perform complex tasks. According to TASS, citing the Ministry of Science and Higher Education of the Russian Federation, the program considers numerous factors, such as the technical specifications of the robots and the surrounding environment, to create an ideal team and predict its actions in changing conditions.
According to Vladislav Cherkasov, a university lecturer and researcher at the Research Institute of Robotics, the key advantage of the development is the use of modern optimization algorithms. This allows for reduced energy consumption, lower operational costs, and improved interaction between robots. The idea for creating the complex arose during work on a Russian Science Foundation project, when researchers encountered limitations in existing control systems where one operator controlled one drone.
Traditional control systems are difficult to scale and require significant resources, including numerous operators and complex communication infrastructure. Furthermore, centralized systems are vulnerable: signal loss or the failure of one robot often leads to the disruption of the entire task. The development from Belgorod addresses these issues by offering a more reliable and autonomous approach to organizing the work of robots in groups.
The technology can be applied in various fields. In the Ministry of Emergency Situations (MChS), the system will help effectively search for victims and deliver cargo to hard-to-reach areas. In agriculture, it will be useful for field monitoring, targeted plant treatment, and logistics. The ministry noted that the project contributes to the development of domestic unmanned systems, increases the efficiency of production processes through automation and data analysis, thereby strengthening Russia’s technological sovereignty.
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