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An artificial remote tactile device with 3D depth-of-field sensation

Flexible tactile neuromorphic devices are becoming important as the impetus for the development of human-machine collaboration. However, accomplishing and further transcending human intelligence with artificial intelligence still confront many barriers. Here, we present a self-powered stretchable th...

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Autores principales: Zhu, Shanshan, Li, Yuanheng, Yelemulati, Huoerhute, Deng, Xinping, Li, Yongcheng, Wang, Jingjing, Li, Xiaojian, Li, Guanglin, Gkoupidenis, Paschalis, Tai, Yanlong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for the Advancement of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604525/
https://www.ncbi.nlm.nih.gov/pubmed/36288316
http://dx.doi.org/10.1126/sciadv.abo5314
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author Zhu, Shanshan
Li, Yuanheng
Yelemulati, Huoerhute
Deng, Xinping
Li, Yongcheng
Wang, Jingjing
Li, Xiaojian
Li, Guanglin
Gkoupidenis, Paschalis
Tai, Yanlong
author_facet Zhu, Shanshan
Li, Yuanheng
Yelemulati, Huoerhute
Deng, Xinping
Li, Yongcheng
Wang, Jingjing
Li, Xiaojian
Li, Guanglin
Gkoupidenis, Paschalis
Tai, Yanlong
author_sort Zhu, Shanshan
collection PubMed
description Flexible tactile neuromorphic devices are becoming important as the impetus for the development of human-machine collaboration. However, accomplishing and further transcending human intelligence with artificial intelligence still confront many barriers. Here, we present a self-powered stretchable three-dimensional remote tactile device (3D-RTD) that performs the depth-of-field (DOF) sensation of external mechanical motions through a conductive-dielectric heterogeneous structure. The device can build a logic relationship precisely between DOF motions of an external active object and sensory potential signals of bipolar sign, frequency, amplitude, etc. The sensory mechanism is revealed on the basis of the electrostatic theory and multiphysics modeling, and the performance is verified via an artificial-biological hybrid system with micro/macroscale interaction. The feasibility of the 3D-RTD as an obstacle-avoidance patch for the blind is systematically demonstrated with a rat. This work paves the way for multimodal neuromorphic device that transcends the function of a biological one toward a new modality for brain-like intelligence.
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spelling pubmed-96045252022-11-04 An artificial remote tactile device with 3D depth-of-field sensation Zhu, Shanshan Li, Yuanheng Yelemulati, Huoerhute Deng, Xinping Li, Yongcheng Wang, Jingjing Li, Xiaojian Li, Guanglin Gkoupidenis, Paschalis Tai, Yanlong Sci Adv Physical and Materials Sciences Flexible tactile neuromorphic devices are becoming important as the impetus for the development of human-machine collaboration. However, accomplishing and further transcending human intelligence with artificial intelligence still confront many barriers. Here, we present a self-powered stretchable three-dimensional remote tactile device (3D-RTD) that performs the depth-of-field (DOF) sensation of external mechanical motions through a conductive-dielectric heterogeneous structure. The device can build a logic relationship precisely between DOF motions of an external active object and sensory potential signals of bipolar sign, frequency, amplitude, etc. The sensory mechanism is revealed on the basis of the electrostatic theory and multiphysics modeling, and the performance is verified via an artificial-biological hybrid system with micro/macroscale interaction. The feasibility of the 3D-RTD as an obstacle-avoidance patch for the blind is systematically demonstrated with a rat. This work paves the way for multimodal neuromorphic device that transcends the function of a biological one toward a new modality for brain-like intelligence. American Association for the Advancement of Science 2022-10-26 /pmc/articles/PMC9604525/ /pubmed/36288316 http://dx.doi.org/10.1126/sciadv.abo5314 Text en Copyright © 2022 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (https://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited.
spellingShingle Physical and Materials Sciences
Zhu, Shanshan
Li, Yuanheng
Yelemulati, Huoerhute
Deng, Xinping
Li, Yongcheng
Wang, Jingjing
Li, Xiaojian
Li, Guanglin
Gkoupidenis, Paschalis
Tai, Yanlong
An artificial remote tactile device with 3D depth-of-field sensation
title An artificial remote tactile device with 3D depth-of-field sensation
title_full An artificial remote tactile device with 3D depth-of-field sensation
title_fullStr An artificial remote tactile device with 3D depth-of-field sensation
title_full_unstemmed An artificial remote tactile device with 3D depth-of-field sensation
title_short An artificial remote tactile device with 3D depth-of-field sensation
title_sort artificial remote tactile device with 3d depth-of-field sensation
topic Physical and Materials Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9604525/
https://www.ncbi.nlm.nih.gov/pubmed/36288316
http://dx.doi.org/10.1126/sciadv.abo5314
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