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ARENA—Augmented Reality to Enhanced Experimentation in Smart Warehouses

The current industrial scenario demands advances that depend on expensive and sophisticated solutions. Augmented Reality (AR) can complement, with virtual elements, the real world. Faced with this features, an AR experience can meet the demand for prototype testing and new solutions, predicting prob...

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Detalles Bibliográficos
Autores principales: Piardi, Luis, Kalempa, Vivian Cremer, Limeira, Marcelo, de Oliveira, André Schneider, Leitão, Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806094/
https://www.ncbi.nlm.nih.gov/pubmed/31590295
http://dx.doi.org/10.3390/s19194308
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author Piardi, Luis
Kalempa, Vivian Cremer
Limeira, Marcelo
de Oliveira, André Schneider
Leitão, Paulo
author_facet Piardi, Luis
Kalempa, Vivian Cremer
Limeira, Marcelo
de Oliveira, André Schneider
Leitão, Paulo
author_sort Piardi, Luis
collection PubMed
description The current industrial scenario demands advances that depend on expensive and sophisticated solutions. Augmented Reality (AR) can complement, with virtual elements, the real world. Faced with this features, an AR experience can meet the demand for prototype testing and new solutions, predicting problems and failures that may only exist in real situations. This work presents an environment for experimentation of advanced behaviors in smart factories, allowing experimentation with multi-robot systems (MRS), interconnected, cooperative, and interacting with virtual elements. The concept of ARENA introduces a novel approach to realistic and immersive experimentation in industrial environments, aiming to evaluate new technologies aligned with the Industry 4.0. The proposed method consists of a small-scale warehouse, inspired in a real scenario characterized in this paper, managing by a group of autonomous forklifts, fully interconnected, which are embodied by a swarm of tiny robots developed and prepared to operate in the small scale scenario. The AR is employed to enhance the capabilities of swarm robots, allowing box handling and virtual forklifts. Virtual laser range finders (LRF) are specially designed as segmentation of a global RGB-D camera, to improve robot perception, allowing obstacle avoidance and environment mapping. This infrastructure enables the evaluation of new strategies to improve manufacturing productivity, without compromising the production by automation faults.
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spelling pubmed-68060942019-11-07 ARENA—Augmented Reality to Enhanced Experimentation in Smart Warehouses Piardi, Luis Kalempa, Vivian Cremer Limeira, Marcelo de Oliveira, André Schneider Leitão, Paulo Sensors (Basel) Article The current industrial scenario demands advances that depend on expensive and sophisticated solutions. Augmented Reality (AR) can complement, with virtual elements, the real world. Faced with this features, an AR experience can meet the demand for prototype testing and new solutions, predicting problems and failures that may only exist in real situations. This work presents an environment for experimentation of advanced behaviors in smart factories, allowing experimentation with multi-robot systems (MRS), interconnected, cooperative, and interacting with virtual elements. The concept of ARENA introduces a novel approach to realistic and immersive experimentation in industrial environments, aiming to evaluate new technologies aligned with the Industry 4.0. The proposed method consists of a small-scale warehouse, inspired in a real scenario characterized in this paper, managing by a group of autonomous forklifts, fully interconnected, which are embodied by a swarm of tiny robots developed and prepared to operate in the small scale scenario. The AR is employed to enhance the capabilities of swarm robots, allowing box handling and virtual forklifts. Virtual laser range finders (LRF) are specially designed as segmentation of a global RGB-D camera, to improve robot perception, allowing obstacle avoidance and environment mapping. This infrastructure enables the evaluation of new strategies to improve manufacturing productivity, without compromising the production by automation faults. MDPI 2019-10-04 /pmc/articles/PMC6806094/ /pubmed/31590295 http://dx.doi.org/10.3390/s19194308 Text en © 2019 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
Piardi, Luis
Kalempa, Vivian Cremer
Limeira, Marcelo
de Oliveira, André Schneider
Leitão, Paulo
ARENA—Augmented Reality to Enhanced Experimentation in Smart Warehouses
title ARENA—Augmented Reality to Enhanced Experimentation in Smart Warehouses
title_full ARENA—Augmented Reality to Enhanced Experimentation in Smart Warehouses
title_fullStr ARENA—Augmented Reality to Enhanced Experimentation in Smart Warehouses
title_full_unstemmed ARENA—Augmented Reality to Enhanced Experimentation in Smart Warehouses
title_short ARENA—Augmented Reality to Enhanced Experimentation in Smart Warehouses
title_sort arena—augmented reality to enhanced experimentation in smart warehouses
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806094/
https://www.ncbi.nlm.nih.gov/pubmed/31590295
http://dx.doi.org/10.3390/s19194308
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