The task of autonomous navigation of the wheeled mobile robots with the use of reinforcement learning (RL- learning) and fuzzy controllers is examined in the article. The rule base of the system of autonomous navigation of robot gets better in the process of learning with the use of reinforcement signal. The examples of design of mobile robots navigation in different environments are considered. Application the presented approach over allows to take into account configurations of obstacles and correct strategy of navigation for the improvement of the system quality.
mobile robot, fuzzy system, navigation, control strategies, fuzzy controller
"Nechetkoe upravlenye avtonomnыm mobylnыm robotom s podkrepliaemыm obuchenyem" [Fuzzy control for a autonomous mobile robot with reinforcement learning],
Information Processing Systems,