loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.69.39

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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