Capacitive in-sensor tactile computing

Yan Chen, Jie Cao, Jie Qiu, Dongzi Yang, Mengyang Liu, Mengru Zhang, Chenyang Li, Zhongyuan Wu, Jie Yu, Xumeng Zhang, Xianzhe Chen, Zhangcheng Huang, Enming Song, Ming Wang (), Qi Liu and Ming Liu ()
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Yan Chen: Fudan University
Jie Cao: Fudan University
Jie Qiu: Fudan University
Dongzi Yang: Fudan University
Mengyang Liu: Fudan University
Mengru Zhang: Fudan University
Chenyang Li: Fudan University
Zhongyuan Wu: Fudan University
Jie Yu: Fudan University
Xumeng Zhang: Fudan University
Xianzhe Chen: Fudan University
Zhangcheng Huang: Fudan University
Enming Song: Fudan University
Ming Wang: Fudan University
Qi Liu: Fudan University
Ming Liu: Fudan University

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: Abstract Real-time sensing and processing of tactile information are essential to enhance the capability of artificial electronic skins (e-skins), enabling unprecedented intelligent applications in tactile exploration and object manipulation. However, conventional tactile e-skin systems typically execute redundant data transfer and conversion for decision making due to their physical separation between sensors and processing units, leading to high transmission latency and power consumption. Here, we report an in-sensor tactile computing system based on a flexible capacitive pressure sensor array. This system utilizes multiple connected sensor networks to execute in-situ analog multiplication and accumulation operations, achieving both tactile sensing and computing functionalities. We experimentally implemented the in-sensor tactile computing system for low-level tactile sensory processing tasks including noise reduction and edge detection. The consumed power for single sensing-computing operation is over 22 times lower than that of a conventional mixed electronic system. These results demonstrate that our capacitive in-sensor computing system paves a promising way for power-constrained applications such as robotics and human-machine interfaces.

Date: 2025
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DOI: 10.1038/s41467-025-60703-7

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