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Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator

Rapid advancements of artificial intelligence of things (AIoT) technology pave the way for developing a digital‐twin‐based remote interactive system for advanced robotic‐enabled industrial automation and virtual shopping. The embedded multifunctional perception system is urged for better interaction...

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Detalles Bibliográficos
Autores principales: Sun, Zhongda, Zhu, Minglu, Zhang, Zixuan, Chen, Zhaocong, Shi, Qiongfeng, Shan, Xuechuan, Yeow, Raye Chen Hua, Lee, Chengkuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292889/
https://www.ncbi.nlm.nih.gov/pubmed/34037331
http://dx.doi.org/10.1002/advs.202100230
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author Sun, Zhongda
Zhu, Minglu
Zhang, Zixuan
Chen, Zhaocong
Shi, Qiongfeng
Shan, Xuechuan
Yeow, Raye Chen Hua
Lee, Chengkuo
author_facet Sun, Zhongda
Zhu, Minglu
Zhang, Zixuan
Chen, Zhaocong
Shi, Qiongfeng
Shan, Xuechuan
Yeow, Raye Chen Hua
Lee, Chengkuo
author_sort Sun, Zhongda
collection PubMed
description Rapid advancements of artificial intelligence of things (AIoT) technology pave the way for developing a digital‐twin‐based remote interactive system for advanced robotic‐enabled industrial automation and virtual shopping. The embedded multifunctional perception system is urged for better interaction and user experience. To realize such a system, a smart soft robotic manipulator is presented that consists of a triboelectric nanogenerator tactile (T‐TENG) and length (L‐TENG) sensor, as well as a poly(vinylidene fluoride) (PVDF) pyroelectric temperature sensor. With the aid of machine learning (ML) for data processing, the fusion of the T‐TENG and L‐TENG sensors can realize the automatic recognition of the grasped objects with the accuracy of 97.143% for 28 different shapes of objects, while the temperature distribution can also be obtained through the pyroelectric sensor. By leveraging the IoT and artificial intelligence (AI) analytics, a digital‐twin‐based virtual shop is successfully implemented to provide the users with real‐time feedback about the details of the product. In general, by offering a more immersive experience in human–machine interactions, the proposed remote interactive system shows the great potential of being the advanced human–machine interface for the applications of the unmanned working space.
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spelling pubmed-82928892021-07-22 Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator Sun, Zhongda Zhu, Minglu Zhang, Zixuan Chen, Zhaocong Shi, Qiongfeng Shan, Xuechuan Yeow, Raye Chen Hua Lee, Chengkuo Adv Sci (Weinh) Research Articles Rapid advancements of artificial intelligence of things (AIoT) technology pave the way for developing a digital‐twin‐based remote interactive system for advanced robotic‐enabled industrial automation and virtual shopping. The embedded multifunctional perception system is urged for better interaction and user experience. To realize such a system, a smart soft robotic manipulator is presented that consists of a triboelectric nanogenerator tactile (T‐TENG) and length (L‐TENG) sensor, as well as a poly(vinylidene fluoride) (PVDF) pyroelectric temperature sensor. With the aid of machine learning (ML) for data processing, the fusion of the T‐TENG and L‐TENG sensors can realize the automatic recognition of the grasped objects with the accuracy of 97.143% for 28 different shapes of objects, while the temperature distribution can also be obtained through the pyroelectric sensor. By leveraging the IoT and artificial intelligence (AI) analytics, a digital‐twin‐based virtual shop is successfully implemented to provide the users with real‐time feedback about the details of the product. In general, by offering a more immersive experience in human–machine interactions, the proposed remote interactive system shows the great potential of being the advanced human–machine interface for the applications of the unmanned working space. John Wiley and Sons Inc. 2021-05-26 /pmc/articles/PMC8292889/ /pubmed/34037331 http://dx.doi.org/10.1002/advs.202100230 Text en © 2021 The Authors. Advanced Science published by Wiley‐VCH GmbH https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Sun, Zhongda
Zhu, Minglu
Zhang, Zixuan
Chen, Zhaocong
Shi, Qiongfeng
Shan, Xuechuan
Yeow, Raye Chen Hua
Lee, Chengkuo
Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator
title Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator
title_full Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator
title_fullStr Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator
title_full_unstemmed Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator
title_short Artificial Intelligence of Things (AIoT) Enabled Virtual Shop Applications Using Self‐Powered Sensor Enhanced Soft Robotic Manipulator
title_sort artificial intelligence of things (aiot) enabled virtual shop applications using self‐powered sensor enhanced soft robotic manipulator
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8292889/
https://www.ncbi.nlm.nih.gov/pubmed/34037331
http://dx.doi.org/10.1002/advs.202100230
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