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The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation
Over time, the field of robotics has provided solutions to automate routine tasks in different scenarios. In particular, libraries are awakening great interest in automated tasks since they are semi-structured environments where machines coexist with humans and several repetitive operations could be...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915268/ https://www.ncbi.nlm.nih.gov/pubmed/33557363 http://dx.doi.org/10.3390/s21041079 |
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author | Martinez-Martin, Ester Ferrer, Eric Vasilev, Ilia del Pobil, Angel P. |
author_facet | Martinez-Martin, Ester Ferrer, Eric Vasilev, Ilia del Pobil, Angel P. |
author_sort | Martinez-Martin, Ester |
collection | PubMed |
description | Over time, the field of robotics has provided solutions to automate routine tasks in different scenarios. In particular, libraries are awakening great interest in automated tasks since they are semi-structured environments where machines coexist with humans and several repetitive operations could be automatically performed. In addition, multirotor aerial vehicles have become very popular in many applications over the past decade, however autonomous flight in confined spaces still presents a number of challenges and the use of small drones has not been reported as an automated inventory device within libraries. This paper presents the UJI aerial librarian robot that leverages computer vision techniques to autonomously self-localize and navigate in a library for automated inventory and book localization. A control strategy to navigate along the library bookcases is presented by using visual markers for self-localization during a visual inspection of bookshelves. An image-based book recognition technique is described that combines computer vision techniques to detect the tags on the book spines, followed by an optical character recognizer (OCR) to convert the book code on the tags into text. These data can be used for library inventory. Misplaced books can be automatically detected, and a particular book can be located within the library. Our quadrotor robot was tested in a real library with promising results. The problems encountered and limitation of the system are discussed, along with its relation to similar applications, such as automated inventory in warehouses. |
format | Online Article Text |
id | pubmed-7915268 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79152682021-03-01 The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation Martinez-Martin, Ester Ferrer, Eric Vasilev, Ilia del Pobil, Angel P. Sensors (Basel) Article Over time, the field of robotics has provided solutions to automate routine tasks in different scenarios. In particular, libraries are awakening great interest in automated tasks since they are semi-structured environments where machines coexist with humans and several repetitive operations could be automatically performed. In addition, multirotor aerial vehicles have become very popular in many applications over the past decade, however autonomous flight in confined spaces still presents a number of challenges and the use of small drones has not been reported as an automated inventory device within libraries. This paper presents the UJI aerial librarian robot that leverages computer vision techniques to autonomously self-localize and navigate in a library for automated inventory and book localization. A control strategy to navigate along the library bookcases is presented by using visual markers for self-localization during a visual inspection of bookshelves. An image-based book recognition technique is described that combines computer vision techniques to detect the tags on the book spines, followed by an optical character recognizer (OCR) to convert the book code on the tags into text. These data can be used for library inventory. Misplaced books can be automatically detected, and a particular book can be located within the library. Our quadrotor robot was tested in a real library with promising results. The problems encountered and limitation of the system are discussed, along with its relation to similar applications, such as automated inventory in warehouses. MDPI 2021-02-04 /pmc/articles/PMC7915268/ /pubmed/33557363 http://dx.doi.org/10.3390/s21041079 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Martinez-Martin, Ester Ferrer, Eric Vasilev, Ilia del Pobil, Angel P. The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation |
title | The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation |
title_full | The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation |
title_fullStr | The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation |
title_full_unstemmed | The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation |
title_short | The UJI Aerial Librarian Robot: A Quadcopter for Visual Library Inventory and Book Localisation |
title_sort | uji aerial librarian robot: a quadcopter for visual library inventory and book localisation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915268/ https://www.ncbi.nlm.nih.gov/pubmed/33557363 http://dx.doi.org/10.3390/s21041079 |
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