The main problem when creating a swarm of robots, scientists note, is overcoming and going around arbitrary
As a result, energy costs increase andtime of work, and its quality also decreases, since missing areas remain. In their new work, YaGTU specialists created an algorithm based on the swarming behavior of animals.
Our algorithm combines two strategies:the global one, which copies the elements of the swarm intelligence, allows robots, when moving in an uncertain environment, to stay in a group and follow the target, and the local one helps them to form the correct formation, focusing on the movement of the swarm. There are no direct analogues of our development in the scientific literature today.
Oleg Maryasin, Associate Professor, Department of Cybernetics, YSTU
A special feature of the new development is the orientation of robots using marker indicators - these are special signs that appear in the environment when performing a task.
When cleaning, they can be the moisture of the floor ortraces of detergent. Scientists are confident that taking into account these signs, coupled with information from audiovisual sensors, will allow robots to act most efficiently.
As a result, the swarm is divided into groups, each of which follows its own target.
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