We propose a novel visual SLAM method that integrates text objects tightly by treating them
as semantic features via fully exploring their geometric and semantic prior. The text object is …

We consider the problem of automatically collecting semantic labels during robotic map**
by extending the map** system to include text detection and recognition modules. In …

In many occasions people need to go to certain places without having any prior knowledge
about the environment. This situation may occur when the place is visited for the first time, or …

This article describes visual functions dedicated to the extraction and recognition of visual
landmarks, here planar quadrangles detected by a single camera. Landmarks are extracted …

We present a robot navigation system based on Behavioral Finite State Social Machine. The
paper makes a robot operate as a social tour guide that adapts its navigation based on the …

We present an accurate metric localization method using a simple artificial landmark for the
navigation of indoor mobile robots. The proposed landmark model is designed to have a …

Navigation assistance using different local Landmarks is an emerging research field now-a-
days. Landmark images taken from different camera angles are being vividly used alongside …

A cornerstone for cognitive mobile agents is to represent the vast body of knowledge about
space in which they operate. In order to be robust and efficient, such representation must …

The aim of the work presented in this article is to develop a navigation system that allows a
mobile robot to move autonomously in an indoor environment using perceptions of multiple …

This paper presents practical, high-level topological navigation tasks, making use of our
general purpose landmark learning and detection system, which includes the possibility of …