An Artificial Intelligence‐Motivated Skin‐Like Optical Fiber Tactile Sensor
Soft and stretchable tactile sensors have received extensive attention for their potential applications in wearables, human–robot interaction, and intelligent robots. Herein, inspired by the functions of skin somatosensory signal generation and processing, an artificial intelligence‐motivated skin‐l...
Main Authors: | , , , , , , |
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Format: | Article |
Language: | English |
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Wiley
2023-08-01
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Series: | Advanced Intelligent Systems |
Subjects: | |
Online Access: | https://doi.org/10.1002/aisy.202200460 |
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author | Tianliang Li Yifei Su Han Zheng Fayin Chen Xiong Li Yuegang Tan Zude Zhou |
author_facet | Tianliang Li Yifei Su Han Zheng Fayin Chen Xiong Li Yuegang Tan Zude Zhou |
author_sort | Tianliang Li |
collection | DOAJ |
description | Soft and stretchable tactile sensors have received extensive attention for their potential applications in wearables, human–robot interaction, and intelligent robots. Herein, inspired by the functions of skin somatosensory signal generation and processing, an artificial intelligence‐motivated skin‐like optical fiber tactile (SOFT) sensor is proposed. It features multifunctional touch interaction capabilities including tactile amplitude and position and tensile strain. Four fiber Bragg gratings (FBGs) are embedded in a skin‐like three‐layer laminate structure of the SOFT sensor, forming a flexible tactile sensing array with a stretchability larger than 20%. Fusing the two‐level cascaded neural network, the position and magnitude of the contact force can be distinguished simultaneously. The recognition accuracy for contact position is up to 92.41% and the error is less than 4.2% within the force range of 0–3.5 N. Several SOFT sensor‐based interactive applications including pressure password interface and music playback are achieved by combining the artificial intelligence spatiotemporal dynamic logic analysis. Furthermore, the sensor is also capable of complex scenes involving tension and tactile sensing, such as dexterous hand perception and human–robot interaction control. This work provides novel insights into artificial intelligence‐based integrated skin that shows broad promise in intelligent prosthetics and bionic robotic. |
first_indexed | 2024-03-12T14:01:11Z |
format | Article |
id | doaj.art-ce11f7c63bfb42e4974c0336fbf0f951 |
institution | Directory Open Access Journal |
issn | 2640-4567 |
language | English |
last_indexed | 2024-03-12T14:01:11Z |
publishDate | 2023-08-01 |
publisher | Wiley |
record_format | Article |
series | Advanced Intelligent Systems |
spelling | doaj.art-ce11f7c63bfb42e4974c0336fbf0f9512023-08-22T05:33:15ZengWileyAdvanced Intelligent Systems2640-45672023-08-0158n/an/a10.1002/aisy.202200460An Artificial Intelligence‐Motivated Skin‐Like Optical Fiber Tactile SensorTianliang Li0Yifei Su1Han Zheng2Fayin Chen3Xiong Li4Yuegang Tan5Zude Zhou6School of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan 430070 ChinaSchool of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan 430070 ChinaSchool of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan 430070 ChinaSchool of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan 430070 ChinaTencent Robotics X Lab Tencent Technology (Shenzhen) Company Ltd. Shenzhen 518064 ChinaSchool of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan 430070 ChinaSchool of Mechanical and Electronic Engineering Wuhan University of Technology Wuhan 430070 ChinaSoft and stretchable tactile sensors have received extensive attention for their potential applications in wearables, human–robot interaction, and intelligent robots. Herein, inspired by the functions of skin somatosensory signal generation and processing, an artificial intelligence‐motivated skin‐like optical fiber tactile (SOFT) sensor is proposed. It features multifunctional touch interaction capabilities including tactile amplitude and position and tensile strain. Four fiber Bragg gratings (FBGs) are embedded in a skin‐like three‐layer laminate structure of the SOFT sensor, forming a flexible tactile sensing array with a stretchability larger than 20%. Fusing the two‐level cascaded neural network, the position and magnitude of the contact force can be distinguished simultaneously. The recognition accuracy for contact position is up to 92.41% and the error is less than 4.2% within the force range of 0–3.5 N. Several SOFT sensor‐based interactive applications including pressure password interface and music playback are achieved by combining the artificial intelligence spatiotemporal dynamic logic analysis. Furthermore, the sensor is also capable of complex scenes involving tension and tactile sensing, such as dexterous hand perception and human–robot interaction control. This work provides novel insights into artificial intelligence‐based integrated skin that shows broad promise in intelligent prosthetics and bionic robotic.https://doi.org/10.1002/aisy.202200460artificial intelligenceflexible tactile sensorshuman–machine interactionsoptical fibersrobot skins |
spellingShingle | Tianliang Li Yifei Su Han Zheng Fayin Chen Xiong Li Yuegang Tan Zude Zhou An Artificial Intelligence‐Motivated Skin‐Like Optical Fiber Tactile Sensor Advanced Intelligent Systems artificial intelligence flexible tactile sensors human–machine interactions optical fibers robot skins |
title | An Artificial Intelligence‐Motivated Skin‐Like Optical Fiber Tactile Sensor |
title_full | An Artificial Intelligence‐Motivated Skin‐Like Optical Fiber Tactile Sensor |
title_fullStr | An Artificial Intelligence‐Motivated Skin‐Like Optical Fiber Tactile Sensor |
title_full_unstemmed | An Artificial Intelligence‐Motivated Skin‐Like Optical Fiber Tactile Sensor |
title_short | An Artificial Intelligence‐Motivated Skin‐Like Optical Fiber Tactile Sensor |
title_sort | artificial intelligence motivated skin like optical fiber tactile sensor |
topic | artificial intelligence flexible tactile sensors human–machine interactions optical fibers robot skins |
url | https://doi.org/10.1002/aisy.202200460 |
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