Control strategies for mobile robots based on fuzzy logic

Autonomously guided vehicles provide a key component to achieve a flexible flow of materials. This paper addresses control strategies enabling the vehicle to deal autonomously with typical uncertainties of an industrial working environment on the basis of low-cost sensories. Fuzzy control approaches for collision avoidance and docking to a target are developed and discussed. This application is of particular interest for processing data from low precision sensors. In computer simulations and hardware experiments the strategies were tested and compared