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Appearance based robotics

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2 Author(s)
P. Zingaretti ; Dipartimento di Ingegneria Informatica, Universita Politecnica delle Marche, Ancona, Italy ; E. Frontoni

Robot localization has been recognized as one of the most fundamental problems in mobile robotics. Localization can be defined as the problem of determining the position of a robot. More precisely, the aim of localization is to estimate the position of a robot in its environment, given local sensorial data. This information is essential for a broad range of mobile robots tasks; in particular, the robot behavior may depend on its position. This article presents a novel and efficient metric for appearance based robot localization. This metric is integrated in a framework that uses a partially observable Markov decision process as position evaluator, thus allowing good results even in partially explored environments and in highly perceptually aliased indoor scenarios.

Published in:

IEEE Robotics & Automation Magazine  (Volume:13 ,  Issue: 1 )