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Digital Twin-Driven Human Robot Collaboration Using a Digital Human
Advances are being made in applying digital twin (DT) and human–robot collaboration (HRC) to industrial fields for safe, effective, and flexible manufacturing. Using a DT for human modeling and simulation enables ergonomic assessment during working. In this study, a DT-driven HRC system was develope...
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/PMC8709080/ https://www.ncbi.nlm.nih.gov/pubmed/34960355 http://dx.doi.org/10.3390/s21248266 |
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author | Maruyama, Tsubasa Ueshiba, Toshio Tada, Mitsunori Toda, Haruki Endo, Yui Domae, Yukiyasu Nakabo, Yoshihiro Mori, Tatsuro Suita, Kazutsugu |
author_facet | Maruyama, Tsubasa Ueshiba, Toshio Tada, Mitsunori Toda, Haruki Endo, Yui Domae, Yukiyasu Nakabo, Yoshihiro Mori, Tatsuro Suita, Kazutsugu |
author_sort | Maruyama, Tsubasa |
collection | PubMed |
description | Advances are being made in applying digital twin (DT) and human–robot collaboration (HRC) to industrial fields for safe, effective, and flexible manufacturing. Using a DT for human modeling and simulation enables ergonomic assessment during working. In this study, a DT-driven HRC system was developed that measures the motions of a worker and simulates the working progress and physical load based on digital human (DH) technology. The proposed system contains virtual robot, DH, and production management modules that are integrated seamlessly via wireless communication. The virtual robot module contains the robot operating system and enables real-time control of the robot based on simulations in a virtual environment. The DH module measures and simulates the worker’s motion, behavior, and physical load. The production management module performs dynamic scheduling based on the predicted working progress under ergonomic constraints. The proposed system was applied to a parts-picking scenario, and its effectiveness was evaluated in terms of work monitoring, progress prediction, dynamic scheduling, and ergonomic assessment. This study demonstrates a proof-of-concept for introducing DH technology into DT-driven HRC for human-centered production systems. |
format | Online Article Text |
id | pubmed-8709080 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-87090802021-12-25 Digital Twin-Driven Human Robot Collaboration Using a Digital Human Maruyama, Tsubasa Ueshiba, Toshio Tada, Mitsunori Toda, Haruki Endo, Yui Domae, Yukiyasu Nakabo, Yoshihiro Mori, Tatsuro Suita, Kazutsugu Sensors (Basel) Communication Advances are being made in applying digital twin (DT) and human–robot collaboration (HRC) to industrial fields for safe, effective, and flexible manufacturing. Using a DT for human modeling and simulation enables ergonomic assessment during working. In this study, a DT-driven HRC system was developed that measures the motions of a worker and simulates the working progress and physical load based on digital human (DH) technology. The proposed system contains virtual robot, DH, and production management modules that are integrated seamlessly via wireless communication. The virtual robot module contains the robot operating system and enables real-time control of the robot based on simulations in a virtual environment. The DH module measures and simulates the worker’s motion, behavior, and physical load. The production management module performs dynamic scheduling based on the predicted working progress under ergonomic constraints. The proposed system was applied to a parts-picking scenario, and its effectiveness was evaluated in terms of work monitoring, progress prediction, dynamic scheduling, and ergonomic assessment. This study demonstrates a proof-of-concept for introducing DH technology into DT-driven HRC for human-centered production systems. MDPI 2021-12-10 /pmc/articles/PMC8709080/ /pubmed/34960355 http://dx.doi.org/10.3390/s21248266 Text en © 2021 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 | Communication Maruyama, Tsubasa Ueshiba, Toshio Tada, Mitsunori Toda, Haruki Endo, Yui Domae, Yukiyasu Nakabo, Yoshihiro Mori, Tatsuro Suita, Kazutsugu Digital Twin-Driven Human Robot Collaboration Using a Digital Human |
title | Digital Twin-Driven Human Robot Collaboration Using a Digital Human |
title_full | Digital Twin-Driven Human Robot Collaboration Using a Digital Human |
title_fullStr | Digital Twin-Driven Human Robot Collaboration Using a Digital Human |
title_full_unstemmed | Digital Twin-Driven Human Robot Collaboration Using a Digital Human |
title_short | Digital Twin-Driven Human Robot Collaboration Using a Digital Human |
title_sort | digital twin-driven human robot collaboration using a digital human |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8709080/ https://www.ncbi.nlm.nih.gov/pubmed/34960355 http://dx.doi.org/10.3390/s21248266 |
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