Intelligent control robot technology based remote tuning, configuration and transfer of knowledge bases

The article discusses various case of interaction between robotic systems. A brief description of each of the systems are shows. The control objects are the manipulator, inverted pendulum and a mobile manipulator Mobile and stationary manipulators are equipped with computer vision based on library OpenCV and hardware, in the form of Web cameras, module Kinect and infrared sensor. This paper shown the opportunity of interaction in a decentral and hierarchical control system. Demonstrates an experiment in tandem "master - slave" conducted on the computer vision of mobile manipulator. Benchmark robots are equipped with built-in intelligent control system developed using the problem of independent software tools "Soft Computing Optimizer". The use of such instruments due to the presence of incomplete description of facilities control and mechanisms of their interaction with each other. Such an approach involves the use of multiple genetic algorithms with different functions for the design of fitness right and left parts of the rule base, optimization of the number of rules and structure of the fuzzy neural network. Experimental results demonstrate the possibility of achieving the goal of control in group of robotics systems by using soft computing technologies. The developed software tool allows tuning and configure complex and low formalized technical systems in real time. This capability can reduce the time, the design of intellectual control system and improve the robust of the system by reducing the influence of expert assessments on the design process.