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Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review

With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human–robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool t...

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Detalles Bibliográficos
Autores principales: Costa, Gabriel de Moura, Petry, Marcelo Roberto, Moreira, António Paulo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003100/
https://www.ncbi.nlm.nih.gov/pubmed/35408339
http://dx.doi.org/10.3390/s22072725
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author Costa, Gabriel de Moura
Petry, Marcelo Roberto
Moreira, António Paulo
author_facet Costa, Gabriel de Moura
Petry, Marcelo Roberto
Moreira, António Paulo
author_sort Costa, Gabriel de Moura
collection PubMed
description With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human–robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool to support the human operator to understand and interact with robots, Augmented Reality (AR) has been employed in numerous human–robot collaborative and cooperative industrial applications. Therefore, this systematic literature review critically appraises 32 papers’ published between 2016 and 2021 to identify the main employed AR technologies, outline the current state of the art of augmented reality for human–robot collaboration and cooperation, and point out future developments for this research field. Results suggest that this is still an expanding research field, especially with the advent of recent advancements regarding head-mounted displays (HMDs). Moreover, projector-based and HMDs developed approaches are showing promising positive influences over operator-related aspects such as performance, task awareness, and safety feeling, even though HMDs need further maturation in ergonomic aspects. Further research should focus on large-scale assessment of the proposed solutions in industrial environments, involving the solution’s target audience, and on establishing standards and guidelines for developing AR assistance systems.
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spelling pubmed-90031002022-04-13 Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review Costa, Gabriel de Moura Petry, Marcelo Roberto Moreira, António Paulo Sensors (Basel) Systematic Review With the continuously growing usage of collaborative robots in industry, the need for achieving a seamless human–robot interaction has also increased, considering that it is a key factor towards reaching a more flexible, effective, and efficient production line. As a prominent and prospective tool to support the human operator to understand and interact with robots, Augmented Reality (AR) has been employed in numerous human–robot collaborative and cooperative industrial applications. Therefore, this systematic literature review critically appraises 32 papers’ published between 2016 and 2021 to identify the main employed AR technologies, outline the current state of the art of augmented reality for human–robot collaboration and cooperation, and point out future developments for this research field. Results suggest that this is still an expanding research field, especially with the advent of recent advancements regarding head-mounted displays (HMDs). Moreover, projector-based and HMDs developed approaches are showing promising positive influences over operator-related aspects such as performance, task awareness, and safety feeling, even though HMDs need further maturation in ergonomic aspects. Further research should focus on large-scale assessment of the proposed solutions in industrial environments, involving the solution’s target audience, and on establishing standards and guidelines for developing AR assistance systems. MDPI 2022-04-01 /pmc/articles/PMC9003100/ /pubmed/35408339 http://dx.doi.org/10.3390/s22072725 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Systematic Review
Costa, Gabriel de Moura
Petry, Marcelo Roberto
Moreira, António Paulo
Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review
title Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review
title_full Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review
title_fullStr Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review
title_full_unstemmed Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review
title_short Augmented Reality for Human–Robot Collaboration and Cooperation in Industrial Applications: A Systematic Literature Review
title_sort augmented reality for human–robot collaboration and cooperation in industrial applications: a systematic literature review
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003100/
https://www.ncbi.nlm.nih.gov/pubmed/35408339
http://dx.doi.org/10.3390/s22072725
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