Fully self-healing dual-mode tactile sensing strategy for object's dimension and surface morphology recognition

IF 16.8 1区材料科学 Q1 CHEMISTRY, PHYSICAL

Nano Energy Pub Date : 2025-02-06 DOI:10.1016/j.nanoen.2025.110757

Xuanzi Luo , Xin Zhang , Shanpeng Ji , Chao Wu , Lin Cheng , Daoyou Guo , Shunli Wang , Huaping Wu , Aiping Liu

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引用次数: 0

Abstract

Bionic flexible tactile sensors have emerged as a popular solution for emulating the human hand's tactile system in wearable devices and smart robots. However, achieving durability and resistance to disruption while enhancing tactile sensing capabilities remains a critical challenge. In this study, we propose a dual-mode tactile sensing strategy with comprehensive self-healing capabilities, combining piezoresistive and piezoelectric sensing to accurately simulate finger bending and touching motions for perception of dynamic and static stimuli. Especially, we introduce an infusive polydimethylsiloxane (H-PDMS) material with self-healing function as the key component of our tactile sensing system, enabling rapid recovery after damage similar to the self-healing ability of human skin. The size of the object is recognized by the liquid metal-based piezoresistive sensor to mimic changes in finger joint bending, while the contour of the object's surface is recognized by the ceramic nanoparticle-included piezoelectric sensor to simulate the tactile receptors of the finger. During object recognition, signals from both sensors are converted into CMYK color blocks and superimposed, enabling accurate discrimination of object size and surface characteristics. Remarkably, the sensing system achieves a comprehensive recognition rate of 96 %, even under damaged conditions, with a self-healing rate in electrical conductivity and sensing capabilities exceeding 90 %. This exceptional self-healing performance is driven by the abundant hydrogen bonds of varying strengths within the H-PDMS matrix, which enable the material to recover its original properties following damage. By introducing this self-healing functionality into electronic skin technology, our work paves the way for advanced applications, including robotic object recognition and automated fruit sorting, offering broad prospects for smart systems in various industries.

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来源期刊

Nano Energy CHEMISTRY, PHYSICAL-NANOSCIENCE & NANOTECHNOLOGY

CiteScore

30.30

自引率

7.40%

发文量

1207

审稿时长

23 days

期刊介绍： Nano Energy is a multidisciplinary, rapid-publication forum of original peer-reviewed contributions on the science and engineering of nanomaterials and nanodevices used in all forms of energy harvesting, conversion, storage, utilization and policy. Through its mixture of articles, reviews, communications, research news, and information on key developments, Nano Energy provides a comprehensive coverage of this exciting and dynamic field which joins nanoscience and nanotechnology with energy science. The journal is relevant to all those who are interested in nanomaterials solutions to the energy problem. Nano Energy publishes original experimental and theoretical research on all aspects of energy-related research which utilizes nanomaterials and nanotechnology. Manuscripts of four types are considered: review articles which inform readers of the latest research and advances in energy science; rapid communications which feature exciting research breakthroughs in the field; full-length articles which report comprehensive research developments; and news and opinions which comment on topical issues or express views on the developments in related fields.