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Authors: Alessandro Micarelli and Giuseppe Sansonetti

Affiliation: Artificial Intelligence Laboratory, Roma Tre University, Italy

Abstract: The purpose of this paper is to present a novel approach to the problem of autonomous robot navigation in a partially structured environment. The proposed solution is based on the ability of recognizing digital images that have been artificially obtained by applying a sensor fusion algorithm to ultrasonic sensor readings. Such images are classified in different categories using the well known Case-Based Reasoning (CBR) technique, as defined in the Artificial Intelligence domain. The architecture takes advantage of fuzzy theory for the construction of digital images, and wavelet functions for their analysis.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Micarelli, A. and Sansonetti, G. (2007). Case-Based Indoor Navigation. In Robot Vision (VISAPP 2007) - Robot Vision; ISBN 978-972-8865-76-4, SciTePress, pages 97-106. DOI: 10.5220/0002069300970106

@conference{robot vision07,
author={Alessandro Micarelli. and Giuseppe Sansonetti.},
title={Case-Based Indoor Navigation},
booktitle={Robot Vision (VISAPP 2007) - Robot Vision},
year={2007},
pages={97-106},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002069300970106},
isbn={978-972-8865-76-4},
}

TY - CONF

JO - Robot Vision (VISAPP 2007) - Robot Vision
TI - Case-Based Indoor Navigation
SN - 978-972-8865-76-4
AU - Micarelli, A.
AU - Sansonetti, G.
PY - 2007
SP - 97
EP - 106
DO - 10.5220/0002069300970106
PB - SciTePress