Vision-Based Humanoid Robot Navigation in a Featureless Environment
Authors: 
Julio Delgado-Galvan, Alberto Navarro-Ramirez, Jose Nunez-Varela, Cesar Puente-Montejano, Francisco Martinez-PerezAuthors Info & Claims
Pages 169 - 178
Abstract
One of the most basic tasks for any autonomous mobile robot is that of safely navigating from one point to another e.g. service robots should be able to find their way in different kinds of environments. Typically, vision is used to find landmarks in that environment to help the robot localise itself reliably. However, some environments may lack of these landmarks and the robot would need to be able to find its way in a featureless environment. This paper presents a topological vision-based approach for navigating through a featureless maze-like environment using a NAO humanoid robot, where all processing is performed by the robot's embedded computer. We show how our approach allows the robot to reliably navigate in this kind of environment in real-time.
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- Vision-Based Humanoid Robot Navigation in a Featureless Environment
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Published In
June 2015
300 pages
ISBN:9783319192635
Publisher
Springer-Verlag
Berlin, Heidelberg
Publication History
Published: 24 June 2015
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