Functional Tactile Sensor Based on Arrayed Triboelectric Nanogenerators

Abstract In the era of Internet of Things (IoT) and Artificial Intelligence (AI), sensors have become an integral part of intelligent systems. Although the traditional sensing technology is very mature in long‐term development, there are remaining defects and limitations that make it difficult to meet the growing demands of current applications, such as high‐sensitivity detection and self‐supplied sensing. As a new type of sensor, array triboelectric nanogenerators (TENG)‐based tactile sensors can respond to wide dynamic range of mechanical stimuli in the surrounding environment and converting them into quantifiable electrical signals, thus realizing real‐time self‐supplied tactile sensing. The array structure allows for fine delineation of the sensing area and improved spatial resolution, resulting in accurate localization and quantification of the detected tactile signals, and have been widely used in wearable devices, smart interaction, medical and health detection, and other fields. In this paper, the latest research progress of functional tactile sensors based on arrayed triboelectric nanogenerators is systematically reviewed from the aspects of working mechanism, material selection, material processing, structural design, functional integration, and application. Finally, the challenges faced by arrayed triboelectric tactile sensors are summarized with a view to providing inspiration and guidance for the future development of tactile sensors.

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Publication Details

Journal
Advanced Energy Materials
Published
2024-09-10
DOI
https://doi.org/10.1002/aenm.202403289
Citations
60
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
11.07

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article

Functional Tactile Sensor Based on Arrayed Triboelectric Nanogenerators

Qianqiu Ni, Junqing Zhao, Lingyi Liao, Rongrong Zhu et al.
60 citations
Advanced Energy Materials
Advanced Sensor and Energy Harvesting Materials
11.07
article

Functional Tactile Sensor Based on Arrayed Triboelectric Nanogenerators

Qianqiu Ni, Junqing Zhao, Lingyi Liao, Rongrong Zhu, Qingsong Mei, Wang Peng, Chi Zhang, Xuanchen Zhu
article en
60 citations

Abstract

Abstract In the era of Internet of Things (IoT) and Artificial Intelligence (AI), sensors have become an integral part of intelligent systems. Although the traditional sensing technology is very mature in long‐term development, there are remaining defects and limitations that make it difficult to meet the growing demands of current applications, such as high‐sensitivity detection and self‐supplied sensing. As a new type of sensor, array triboelectric nanogenerators (TENG)‐based tactile sensors can respond to wide dynamic range of mechanical stimuli in the surrounding environment and converting them into quantifiable electrical signals, thus realizing real‐time self‐supplied tactile sensing. The array structure allows for fine delineation of the sensing area and improved spatial resolution, resulting in accurate localization and quantification of the detected tactile signals, and have been widely used in wearable devices, smart interaction, medical and health detection, and other fields. In this paper, the latest research progress of functional tactile sensors based on arrayed triboelectric nanogenerators is systematically reviewed from the aspects of working mechanism, material selection, material processing, structural design, functional integration, and application. Finally, the challenges faced by arrayed triboelectric tactile sensors are summarized with a view to providing inspiration and guidance for the future development of tactile sensors.

Advanced Energy MaterialsVol. 14(44)
Chinese Academy of Sciences (CN), Huazhong Agricultural University (CN), Wuhan University (CN), Beijing Institute of Nanoenergy and Nanosystems (CN), Ministry of Agriculture and Rural Affairs (CN)
National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 1%
Advanced Sensor and Energy Harvesting Materials
11.07
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