Methods and technologies of automated learning for improvement of autonomous robots adaptivity

Abstract

This paper discusses a problem of automated learning based on analysis of a sensor array data, accumulated during the autonomous robot life-cycle, and a generalized experience of the robot operation results in different situations. The solution based on complex application of classification tree methods, evolution and neural-network algorithms is introduced.