Placing Artificial Visual Landmarks in a Mobile Robot Workspace

1998 ◽  
pp. 274-282 ◽  
Author(s):  
Joaquin Salas ◽  
Jose Luis Gordillo
Keyword(s):  
Mobile Robot ◽  
Visual Landmarks ◽  
Robot Workspace

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.

VISUAL HOMING IN ANALOG HARDWARE

1999 ◽  
Vol 09 (05) ◽  
pp. 383-389 ◽  
Author(s):  
RALF MÖLLER
Keyword(s):  
Mobile Robot ◽  
Neural Circuits ◽  
Vector Model ◽  
Complex Task ◽  
Visual Landmarks ◽  
Homing Behavior ◽  
Visual Homing ◽  
Parsimonious Model

Insects of several species rely on visual landmarks for returning to important locations in their environment, The "average landmark vector model" is a parsimonious model which reproduces some aspects of the visual homing behavior of bees and ants, To gain insights in the structure and complexity of the neural apparatus that might underly the navigational capabilities of these animals, the average landmark vector model was implemented in analog hardware and used to control a mobile robot. The experiments demonstrate that the apparently complex task of visual homing might be realized by simple and mostly peripheral neural circuits in insect brains.

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