The work is dedicated to the creation of hardware and software system for the research and development of new algorithms for collective behavior in a group of robots, as well as adapting known algorithms for solving problems with minimal a priori information about the external environment. The software and hardware system is equipped with an active test polygon, a set of obstacles, charging stations, target points with infrared markers, and communication systems between the mobile robots. The results of modelling spike neural controller for mobile robot and solving the problem of searching target points on the test polygon with the use of individual random search and collective algorithm with multiagent approach is given.
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