Soft computing algorithms for intelligent control of a mobile robot for service use

Abstract

 The arrangement principles and design methodology on soft computing for complex control framework of AI control system are introduced. The basis of this methodology is computer simulation of dynamics for mechanical robotic system with the help of qualitative physics and search for possible solutions by genetic algorithms (GA). New approach for direct human-robot communication with natural language (NL) and cognitive graphics is introduced. Active adaptation block which helps to mobile robot to learn a new actions and scripts based on soft computing as fuzzy neural networks, fuzzy control and genetic algorithms are proposed.