Robust and Flexible Sliding Tactile Sensor for Surface Pattern Perception and Recognition
Perceiving surface characteristics through tactile interaction typically requires high‐resolution devices or precise spatial scanning to record and analyze a significant amount of information. However, most available tactile sensors require complicated technological processes, redundant layouts, and...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2023-10-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202300225 |
| _version_ | 1827788023241113600 |
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| author | Zhihao Zhu Yingtian Xu Waner Lin Zhixian Hu Zhuofan Lin Zhenglong Sun Zhengchun Peng Ziya Wang |
| author_facet | Zhihao Zhu Yingtian Xu Waner Lin Zhixian Hu Zhuofan Lin Zhenglong Sun Zhengchun Peng Ziya Wang |
| author_sort | Zhihao Zhu |
| collection | DOAJ |
| description | Perceiving surface characteristics through tactile interaction typically requires high‐resolution devices or precise spatial scanning to record and analyze a significant amount of information. However, most available tactile sensors require complicated technological processes, redundant layouts, and data acquisition circuits, which limits their ability to provide a real‐time static perception and feedback for potential applications such as robotic manipulation. Drawing inspiration from the sliding tactile (ST) perception mode of the human fingertip, a robust and flexible ST sensor with a low array density of 2.7 cells cm−2 is reported. This innovative sensor has a soft and cambered configuration that allows it to rapidly and accurately recognize the 3D surface features of objects, including grooves as small as 500 μm. Benefiting from the strong correlation between collected electronic responding and local deformation of sensing cell, the ST sensor can adaptively reconstruct surface patterns with the assistance of deep learning, even on unstructured objects. The pattern recognition system based on the robot is demonstrated by accurately classifying a set of mahjong tiles with nearly 100% accuracy, surpassing human tactile perception capabilities in the same task. |
| first_indexed | 2024-03-11T17:01:07Z |
| format | Article |
| id | doaj.art-394fcb1345f04b2db100c5cb8a41eec5 |
| institution | Directory Open Access Journal |
| issn | 2640-4567 |
| language | English |
| last_indexed | 2024-03-11T17:01:07Z |
| publishDate | 2023-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj.art-394fcb1345f04b2db100c5cb8a41eec52023-10-20T07:43:39ZengWileyAdvanced Intelligent Systems2640-45672023-10-01510n/an/a10.1002/aisy.202300225Robust and Flexible Sliding Tactile Sensor for Surface Pattern Perception and RecognitionZhihao Zhu0Yingtian Xu1Waner Lin2Zhixian Hu3Zhuofan Lin4Zhenglong Sun5Zhengchun Peng6Ziya Wang7Center for Stretchable Electronics and Nano Sensors State Key Laboratory of Radio Frequency Heterogeneous Integration School of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 ChinaSchool of Science and Engineering The Chinese University of Hong Kong Shenzhen 518172 ChinaDepartment of Micro-Nano Electronics School of Electronic Information and Electrical Engineering Shanghai Jiao Tong University Shanghai 200240 ChinaSchool of Science and Engineering The Chinese University of Hong Kong Shenzhen 518172 ChinaCenter for Stretchable Electronics and Nano Sensors State Key Laboratory of Radio Frequency Heterogeneous Integration School of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 ChinaSchool of Science and Engineering The Chinese University of Hong Kong Shenzhen 518172 ChinaCenter for Stretchable Electronics and Nano Sensors State Key Laboratory of Radio Frequency Heterogeneous Integration School of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 ChinaCenter for Stretchable Electronics and Nano Sensors State Key Laboratory of Radio Frequency Heterogeneous Integration School of Physics and Optoelectronic Engineering Shenzhen University Shenzhen 518060 ChinaPerceiving surface characteristics through tactile interaction typically requires high‐resolution devices or precise spatial scanning to record and analyze a significant amount of information. However, most available tactile sensors require complicated technological processes, redundant layouts, and data acquisition circuits, which limits their ability to provide a real‐time static perception and feedback for potential applications such as robotic manipulation. Drawing inspiration from the sliding tactile (ST) perception mode of the human fingertip, a robust and flexible ST sensor with a low array density of 2.7 cells cm−2 is reported. This innovative sensor has a soft and cambered configuration that allows it to rapidly and accurately recognize the 3D surface features of objects, including grooves as small as 500 μm. Benefiting from the strong correlation between collected electronic responding and local deformation of sensing cell, the ST sensor can adaptively reconstruct surface patterns with the assistance of deep learning, even on unstructured objects. The pattern recognition system based on the robot is demonstrated by accurately classifying a set of mahjong tiles with nearly 100% accuracy, surpassing human tactile perception capabilities in the same task.https://doi.org/10.1002/aisy.202300225pattern recognitionsliding perceptiontactile sensors |
| spellingShingle | Zhihao Zhu Yingtian Xu Waner Lin Zhixian Hu Zhuofan Lin Zhenglong Sun Zhengchun Peng Ziya Wang Robust and Flexible Sliding Tactile Sensor for Surface Pattern Perception and Recognition Advanced Intelligent Systems pattern recognition sliding perception tactile sensors |
| title | Robust and Flexible Sliding Tactile Sensor for Surface Pattern Perception and Recognition |
| title_full | Robust and Flexible Sliding Tactile Sensor for Surface Pattern Perception and Recognition |
| title_fullStr | Robust and Flexible Sliding Tactile Sensor for Surface Pattern Perception and Recognition |
| title_full_unstemmed | Robust and Flexible Sliding Tactile Sensor for Surface Pattern Perception and Recognition |
| title_short | Robust and Flexible Sliding Tactile Sensor for Surface Pattern Perception and Recognition |
| title_sort | robust and flexible sliding tactile sensor for surface pattern perception and recognition |
| topic | pattern recognition sliding perception tactile sensors |
| url | https://doi.org/10.1002/aisy.202300225 |
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