Parallel Double-layered Fuzzy Control System of Autonomous Robot in Unknown Environment

Abstract

When autonomous mobile robot is navigating in an unknown environment, the difficulty is avoiding unexpected objects on its way to the goal. This paper presents a new parallel double-layered control system of an autonomous mobile to avoid static or dynamic objects in uncertain environments. Fuzzy control system is a simple way to lay out robot tracking rapidly. The fuzzy control system is consistency and consistency, and easily realized. Simulation results and experiments on the actual robot show that the proposed method can be efficiently applied to robot navigation in complex and unknown environments.