Russian Scientists Create a ‘Foreman’ for Robot Teams
A new AI-driven coordination platform developed in Russia can analyze robot capabilities, assemble optimal teams, and predict their behavior in changing conditions, opening the door to large-scale autonomous operations
An AI Foreman for Coordinated Robotics
Researchers at Belgorod State Technological University named after Shukhov have developed a software system designed to optimize the composition and characteristics of robot teams for coordinated work. The platform automatically selects and configures groups of robots for joint tasks, analyzing variables ranging from each robot’s technical specifications to environmental conditions. Based on this data, it forms the optimal team and predicts how the robots will behave as conditions shift.
The project emerged in response to the limitations of existing systems for managing robot groups. Traditional solutions follow a “one operator–one drone” model, making them difficult to scale. They require constant human involvement, large technical resources, multiple operators for group missions, and complex communication infrastructure. Their operation can be easily disrupted by loss of connection or navigation signals.
Wide Applications Across Industries
Vladislav Cherkasov, junior researcher at the Robotics and Control Systems Institute, notes that the system’s key advantage lies in its use of modern optimization algorithms, which significantly increase operational efficiency.
The potential applications are broad. The technology can be used to locate people in emergency zones, deliver medication to remote areas, monitor agricultural fields, perform precision crop treatments, and transport goods.
