Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning‐Enhanced Super‐Resolution Tactile Sensor Array with Rapid Response
Human skin's touch perception, mediated by mechanoreceptors, can perceive tactile stimuli with a spatial resolution higher than the average spacing between mechanoreceptors, known as super‐resolution. This characteristic enables its sensitivity to both stimulus location and velocity. However, e...
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| Format: | Article |
| Language: | English |
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Wiley
2025-05-01
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| Series: | Advanced Intelligent Systems |
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| Online Access: | https://doi.org/10.1002/aisy.202400913 |
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| author | Shuyao Zhou Depeng Kong Mengke Wang Baocheng Wang Yuyao Lu Honghao Lyu Zhangli Lu Yong Tao Kaichen Xu Geng Yang |
| author_facet | Shuyao Zhou Depeng Kong Mengke Wang Baocheng Wang Yuyao Lu Honghao Lyu Zhangli Lu Yong Tao Kaichen Xu Geng Yang |
| author_sort | Shuyao Zhou |
| collection | DOAJ |
| description | Human skin's touch perception, mediated by mechanoreceptors, can perceive tactile stimuli with a spatial resolution higher than the average spacing between mechanoreceptors, known as super‐resolution. This characteristic enables its sensitivity to both stimulus location and velocity. However, existing robotic tactile sensors lag behind human tactile perception, failing to achieve high spatial resolution and rapid response simultaneously. This significantly hinders robots from executing accurate, time‐sensitive interaction tasks, particularly during dynamic slight‐contact events. Here, a 130 μm‐thick flexible tactile sensor array is designed, with spatial resolution enhanced by a tailored deep learning model, multistage attention‐based adaptive spatial–temporal graph convolutional networks (MS‐AASTGCN), simultaneously achieving a dynamic response of ≈30 ms and a super‐resolution factor of 75.19. The tactile sensor array, based on single‐electrode triboelectric nanogenerators, can detect dynamic subtle stimuli. It features a bio‐inspired topological structure, facilitating super‐resolution performance while offering a large perception area with low sensor (taxel) density. Additionally, the MS‐AASTGCN enhances positioning resolution by extracting features fromsensing data and revealing the hidden relationships among taxels. This research provides new insights into haptic perception systems, enabling the execution of precise, time‐sensitive interaction tasks, such as tracking a bouncing table tennis ball. |
| format | Article |
| id | doaj-art-6423eb3386e94b0f87dc6f305e1bb2a0 |
| institution | DOAJ |
| issn | 2640-4567 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj-art-6423eb3386e94b0f87dc6f305e1bb2a02025-08-20T03:08:17ZengWileyAdvanced Intelligent Systems2640-45672025-05-0175n/an/a10.1002/aisy.202400913Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning‐Enhanced Super‐Resolution Tactile Sensor Array with Rapid ResponseShuyao Zhou0Depeng Kong1Mengke Wang2Baocheng Wang3Yuyao Lu4Honghao Lyu5Zhangli Lu6Yong Tao7Kaichen Xu8Geng Yang9State Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou 310030 ChinaState Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou 310030 ChinaState Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou 310030 ChinaState Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou 310030 ChinaState Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou 310030 ChinaState Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou 310030 ChinaState Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou 310030 ChinaSchool of Mechanical Engineering & Automation Beihang University Beijing 100191 ChinaState Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou 310030 ChinaState Key Laboratory of Fluid Power and Mechatronic Systems School of Mechanical Engineering Zhejiang University Hangzhou 310030 ChinaHuman skin's touch perception, mediated by mechanoreceptors, can perceive tactile stimuli with a spatial resolution higher than the average spacing between mechanoreceptors, known as super‐resolution. This characteristic enables its sensitivity to both stimulus location and velocity. However, existing robotic tactile sensors lag behind human tactile perception, failing to achieve high spatial resolution and rapid response simultaneously. This significantly hinders robots from executing accurate, time‐sensitive interaction tasks, particularly during dynamic slight‐contact events. Here, a 130 μm‐thick flexible tactile sensor array is designed, with spatial resolution enhanced by a tailored deep learning model, multistage attention‐based adaptive spatial–temporal graph convolutional networks (MS‐AASTGCN), simultaneously achieving a dynamic response of ≈30 ms and a super‐resolution factor of 75.19. The tactile sensor array, based on single‐electrode triboelectric nanogenerators, can detect dynamic subtle stimuli. It features a bio‐inspired topological structure, facilitating super‐resolution performance while offering a large perception area with low sensor (taxel) density. Additionally, the MS‐AASTGCN enhances positioning resolution by extracting features fromsensing data and revealing the hidden relationships among taxels. This research provides new insights into haptic perception systems, enabling the execution of precise, time‐sensitive interaction tasks, such as tracking a bouncing table tennis ball.https://doi.org/10.1002/aisy.202400913deep learningdynamic perceptionssubtle stimuli perceptionssuper‐resolutiontactile perceptionstactile sensors |
| spellingShingle | Shuyao Zhou Depeng Kong Mengke Wang Baocheng Wang Yuyao Lu Honghao Lyu Zhangli Lu Yong Tao Kaichen Xu Geng Yang Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning‐Enhanced Super‐Resolution Tactile Sensor Array with Rapid Response Advanced Intelligent Systems deep learning dynamic perceptions subtle stimuli perceptions super‐resolution tactile perceptions tactile sensors |
| title | Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning‐Enhanced Super‐Resolution Tactile Sensor Array with Rapid Response |
| title_full | Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning‐Enhanced Super‐Resolution Tactile Sensor Array with Rapid Response |
| title_fullStr | Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning‐Enhanced Super‐Resolution Tactile Sensor Array with Rapid Response |
| title_full_unstemmed | Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning‐Enhanced Super‐Resolution Tactile Sensor Array with Rapid Response |
| title_short | Unlocking Dynamic Subtle Stimuli Tactile Perception: A Deep Learning‐Enhanced Super‐Resolution Tactile Sensor Array with Rapid Response |
| title_sort | unlocking dynamic subtle stimuli tactile perception a deep learning enhanced super resolution tactile sensor array with rapid response |
| topic | deep learning dynamic perceptions subtle stimuli perceptions super‐resolution tactile perceptions tactile sensors |
| url | https://doi.org/10.1002/aisy.202400913 |
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