Fuzzy logic based software control architecture for a skid steering vehicle

Abstract

A sensor-based software control architecture is proposed for autonomous navigation of the Real World Interface (currently iRobot) ATRV-mini skid steering vehicle. The architecture is superimposed over the existing ATRV-mini mobility software that navigates the robot. A two-layer fuzzy logic controller has been implemented. Inputs are the collision possibilities in front, back, left and right directions of movement and the heading angle error. Outputs are the rotational and translational velocities.