Force Measurement Technology of Vision‐Based Tactile Sensor
Marker‐type vision‐based tactile sensors (VTS) realize force sensing by calibrating marker vector information. The tactile visualization can provide high‐precision and multimodal force information to promote robotic dexterous manipulation development. Considering VTS's contribution to force mea...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
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| Series: | Advanced Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/aisy.202400290 |
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| _version_ | 1832592545824112640 |
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| author | Bin Fang Jie Zhao Nailong Liu Yuhao Sun Shixin Zhang Fuchun Sun Jianhua Shan Yiyong Yang |
| author_facet | Bin Fang Jie Zhao Nailong Liu Yuhao Sun Shixin Zhang Fuchun Sun Jianhua Shan Yiyong Yang |
| author_sort | Bin Fang |
| collection | DOAJ |
| description | Marker‐type vision‐based tactile sensors (VTS) realize force sensing by calibrating marker vector information. The tactile visualization can provide high‐precision and multimodal force information to promote robotic dexterous manipulation development. Considering VTS's contribution to force measurement, this article reviews the advanced force measurement technologies of VTSs. First, the working principle of marker‐type VTSs is introduced, including single‐layer markers, double‐layer markers, color coding, and optical flow. Then, the relationship between the marker type and the category of force measurement is discussed in detail. On this basis, the process of marker feature extraction is summarized, including image processing and marker‐matching technologies. According to the learning approach, force measurement methods are classified into physical and deep learning models. Further, branches of each method are analyzed in terms of input types. Combined with measuring range and precision, the correlation of sensor design, materials, and recognition methods to force measurement performance is further discussed. Finally, the difficulties and challenges are analyzed, and future developments are proposed. This review aims to deepen understanding of the research progress and applications and provide a reference for the research community to promote technology generations in related fields. |
| format | Article |
| id | doaj-art-029f6a6eb8e244d5b054650e4f3c3a6a |
| institution | Kabale University |
| issn | 2640-4567 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advanced Intelligent Systems |
| spelling | doaj-art-029f6a6eb8e244d5b054650e4f3c3a6a2025-01-21T07:26:27ZengWileyAdvanced Intelligent Systems2640-45672025-01-0171n/an/a10.1002/aisy.202400290Force Measurement Technology of Vision‐Based Tactile SensorBin Fang0Jie Zhao1Nailong Liu2Yuhao Sun3Shixin Zhang4Fuchun Sun5Jianhua Shan6Yiyong Yang7School of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing 100876 ChinaAnhui Province Key Laboratory of Special Heavy Load Robot Anhui University of Technology Ma'anshan 243002 ChinaNational Key Laboratory of Space Intelligent Control Beijing Institute of Control Engineering Beijing 100094 ChinaSchool of Artificial Intelligence Beijing University of Posts and Telecommunications Beijing 100876 ChinaSchool of Engineering and Technology China University of Geosciences (Beijing) Beijing 100083 ChinaDepartment of Computer Science and Technology Tsinghua University Beijing 100084 ChinaAnhui Province Key Laboratory of Special Heavy Load Robot Anhui University of Technology Ma'anshan 243002 ChinaSchool of Engineering and Technology China University of Geosciences (Beijing) Beijing 100083 ChinaMarker‐type vision‐based tactile sensors (VTS) realize force sensing by calibrating marker vector information. The tactile visualization can provide high‐precision and multimodal force information to promote robotic dexterous manipulation development. Considering VTS's contribution to force measurement, this article reviews the advanced force measurement technologies of VTSs. First, the working principle of marker‐type VTSs is introduced, including single‐layer markers, double‐layer markers, color coding, and optical flow. Then, the relationship between the marker type and the category of force measurement is discussed in detail. On this basis, the process of marker feature extraction is summarized, including image processing and marker‐matching technologies. According to the learning approach, force measurement methods are classified into physical and deep learning models. Further, branches of each method are analyzed in terms of input types. Combined with measuring range and precision, the correlation of sensor design, materials, and recognition methods to force measurement performance is further discussed. Finally, the difficulties and challenges are analyzed, and future developments are proposed. This review aims to deepen understanding of the research progress and applications and provide a reference for the research community to promote technology generations in related fields.https://doi.org/10.1002/aisy.202400290dexterous manipulationsforce measurementsmarker‐type vision‐based tactile sensors |
| spellingShingle | Bin Fang Jie Zhao Nailong Liu Yuhao Sun Shixin Zhang Fuchun Sun Jianhua Shan Yiyong Yang Force Measurement Technology of Vision‐Based Tactile Sensor Advanced Intelligent Systems dexterous manipulations force measurements marker‐type vision‐based tactile sensors |
| title | Force Measurement Technology of Vision‐Based Tactile Sensor |
| title_full | Force Measurement Technology of Vision‐Based Tactile Sensor |
| title_fullStr | Force Measurement Technology of Vision‐Based Tactile Sensor |
| title_full_unstemmed | Force Measurement Technology of Vision‐Based Tactile Sensor |
| title_short | Force Measurement Technology of Vision‐Based Tactile Sensor |
| title_sort | force measurement technology of vision based tactile sensor |
| topic | dexterous manipulations force measurements marker‐type vision‐based tactile sensors |
| url | https://doi.org/10.1002/aisy.202400290 |
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