Spatial exploration, map learning, and self-positioning with MonaLysa

This paper describes how the MonaLysa control architecture implements a route-following navigation strategy. Two procedures that allow map building and self-positioning are described, and experimental results are provided that demonstrate that such procedures are robust with respect to noise. This approach is compared to others with similar objectives, and directions for future work are outlined.