Intellectual control system for a group of mobile robots

The object of the study is the intelligent control system of the mobile robot. The problem of intelligent control for a group of mobile robots in an uncertain environment is the difficulty of building an effective control system with a quality system of situation identification and neural networks, which provide sufficiently accurate data for effectively coordinated interaction robots in a group. The article considers the control system of the mobile robot's behavior using the construction of a sensory map of the mobile robot's movement and its functional model. The structure of the robot group coordinator situation identification system is also built, according to which the robot coordinator can process information coming from the environment, build a map of the area, identify obstacles, plan obstacle traversals based on processed information, and has the ability to communicate with coordinators of other groups and data center for the collaborative work of groups of mobile robots to perform the task effectively. In addition, the article presents the concept of a multilevel intelligent control system for mobile robots, which proposes to build an intelligent control module of three levels, based on the model of thinking and classification of tasks by level of information. The intelligent system can be used in conjunction with a situation identification system to improve the accuracy of interaction between both the mobile robot and the group of mobile robots by including intelligence components in the control system of the robot coordinator group or by obtaining processed data from the Monitoring and Control Center through the group coordinator. The main methods of group intelligent control of mobile works are considered. Ref. 10, pic. 4.