Large-area Electronic Skin Sensing Systems for Intelligent Robots

doi:10.3901/JME.260162

Abstract

Abstract: Electronic skin is one of the key technologies to achieve human-computer interaction and dexterous operation, providing intelligent robots with human-like tactile sensing functions. Existing electronic skins already have certain sensing functions, but their sensing areas are small and the signal processing capabilities are not satisfying, making them unable to meet the robot’s needs for large-area intelligent tactile perception. In response to the above problems, a large-area electronic skin sensing system has been investigated and preliminarily applied in intelligent robots. The sensing system consisting of electronic skin, data acquisition, and processing devices, has an expandable sensing area and high spatial resolution which can reflect the external pressure distribution status in real time. Inspired by biological holistic perception, this research proposes a self-supervised sensing correction network using spatiotemporal context information to learn from weak supervision to solve the problem of difficult calibration of large-area electronic skins. In addition, this research applies the electronic skin sensing system to touch mode recognition and robot collision detection, expanding its application scenarios and showing its potential application value in fields such as intelligent robots and human-computer interaction.

Key words: electronic skin sensing system, self-supervised sensing correction, touch modality recognition, collision detection

CLC Number:

TP242

ZHANG Pin, JIANG Shan, HAN Cheng, BAI Long, BU Tianzhao, WU Hao. Large-area Electronic Skin Sensing Systems for Intelligent Robots[J]. Journal of Mechanical Engineering, 2026, 62(11): 241-248.

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URL: http://www.cjmenet.com.cn/EN/10.3901/JME.260162

http://www.cjmenet.com.cn/EN/Y2026/V62/I11/241

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