The team of engineers has developed A system of many robots that allows machines to act with a “collective brain”, Coordination of tasks, navigation after complex environments and autonomous avoidance of obstacles. Unlike conventional robots that work in insulation, this system allows robots to function as a coherent unit, performing complex operations more efficiently and safely.
The concept of a collective brain allows robots to share information about their environment, positions and assigned tasks. This real -time exchange allows you to adapt to changing conditions or unexpected obstacles, as well as social insects, such as ants, which achieve unusual results through collective behavior. However, in robotics this rule is strengthened by advanced calculations, sensors and communication protocols that allow precise coordination and decision making.
Multirobot Framework, built on the ROS2 platform (Robot Operating System), enables trouble -free communication between many robots. Equipped with Lidar, cameras and other sensors, each robot can map the surroundings, calculate the optimal route to the destination and dynamically adapt when encountering new obstacles. Lidar provides accurate distance measurements, while Aruco cameras and markers support location and orientation, reducing positioning errors to just 2.5 centimeters.
The system has been tested in a series of simulated environments, including industrial magazines and canteens, using fleets up to 18 heterogeneous robots. These attempts showed how collective intelligence allows robots reliably and cooperate, even in crowded or dynamic settings.
The key feature of the system is the task controller module. When assessing the position and availability of each robot, the framework assigns tasks to the most suitable agent. For example, in the delivery of the Robot magazine, the closest to the destination is automatically chosen. This approach improves performance, prevents collisions and balances work load throughout the fleet.
Such possibilities are particularly valuable in environments that require simultaneous operations, such as logistics centers, hospitals or restaurants where robots must coordinate to handle many tasks without human intervention.
Robots with a collective brain offer clear advantages in terms of performance, safety and adaptation abilities. They can take repetitive, dangerous or sensitive tasks, while constantly adapting to dynamic conditions. Applications include logistics, healthcare, production and service industries – sectors in which precision and reliability are of key importance.
Looking to the future, research in multi-robot systems is aimed at further increasing cooperation by enabling robots to learn from each other, share experiences and easily next to people. Multirobot framework shows how collective intelligence can transform industrial automation, constituting an important step towards intelligent, self -organizing robotic systems.
