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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6806094 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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