Learning Visual Landmarks for Mobile Robot Topological Navigation

2005 ◽  
pp. 1-55
Author(s):  
Mario Mata ◽  
Jose Maria Armingol ◽  
Arturo de la Escalera
Keyword(s):  
Mobile Robot ◽  
Visual Landmarks ◽  
Topological Navigation

Building the Panoramic Image for Mobile Robot Localization

2013 ◽  
Vol 365-366 ◽  
pp. 967-970 ◽  
Author(s):  
Vladimir Popov ◽  
Anna Gorbenko
Keyword(s):  
Mobile Robot ◽  
Robot Navigation ◽  
String Matching ◽  
Mobile Robot Navigation ◽  
Robot Localization ◽  
Panoramic Image ◽  
High Quality ◽  
Visual Landmarks ◽  
One Dimensional ◽  
Mobile Robot Localization

Visual landmarks are extensively used in contemporary robotics. There are a large number of different systems of visual landmarks. In particular, fingerprints give us unique identifiers for visually distinct locations by recovering statistically significant features. Therefore, fingerprints can be used as visual landmarks for mobile robot navigation. To create fingerprints we need one-dimensional color panoramas of high quality. In this paper, we consider a method for building the panoramic image using string matching algorithms. In particular, we propose the shortest common ordered supersequence problem.

scholarly journals A topological navigation system for indoor environments based on perception events

2016 ◽  
Vol 14 (1) ◽  
pp. 172988141667813 ◽  
Author(s):  
Clara Gomez ◽  
Alejandra Carolina Hernandez ◽  
Jonathan Crespo ◽  
Ramon Barber
Keyword(s):  
Mobile Robot ◽  
Mobile Robots ◽  
Navigation System ◽  
Indoor Environment ◽  
Mobile Systems ◽  
Indoor Environments ◽  
Human Navigation ◽  
Multiple Events ◽  
Topological Navigation ◽  
Detection And Recognition

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 events. A topological navigation system based on events that imitates human navigation using sensorimotor abilities and sensorial events is presented. The increasing interest in building autonomous mobile systems makes the detection and recognition of perceptions a crucial task. The system proposed can be considered a perceptive navigation system as the navigation process is based on perception and recognition of natural and artificial landmarks, among others. The innovation of this work resides in the use of an integration interface to handle multiple events concurrently, leading to a more complete and advanced navigation system. The developed architecture enhances the integration of new elements due to its modularity and the decoupling between modules. Finally, experiments have been carried out in several mobile robots, and their results show the feasibility of the navigation system proposed and the effectiveness of the sensorial data integration managed as events.

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