This paper presents an original knowledge driven automatic contour detection approach based on neuro-fuzzy techniques. The method simulates a trained virtual autonomous mobile robot that delineates the organ outlines by combining local image information and global a-priori shape knowledge. In a pilot validation study into left ventricular delineation in cardiac MR images, our novel method demonstrated a high robustness, and a clinically acceptable border localization performance.