Multimodal Finger-Shaped Tactile Sensor for Multi-Directional Force and Material Identification

IF 26.8 1区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Advanced Materials Pub Date : 2025-03-21 DOI:10.1002/adma.202414096
Chengcheng Han, Zhi Cao, Ziyao An, Zhiwei Zhang, Zhong Lin Wang, Zhiyi Wu
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Abstract

Multimodal tactile perception is crucial for advancing human–computer interaction, but real-time multidimensional force detection and material identification remain challenging. Here, a finger-shaped tactile sensor (FTS) based on the triboelectric effect is proposed, capable of multidirectional force sensing and material identification. The FTS is composed of an external material identification section and an internal force sensing section. Three materials are embedded into the surface of the silicone shell in the fingerpad, forming single-electrode sensors for material identification. In the force sensing section, the silicone shell's outer surface is coated with conductive silver paste as a shielding layer. The inner wall has four silicone microneedle arrays and a silicone bump, while five silver electrodes are coated on the internal polylactic acid skeleton. The components connect via interlocking structures near the fingernail, allowing localized contact and separation between the silicone shell and skeleton, enabling force direction detection through signals from the five electrodes. Additionally, the outer sensors achieve 98.33% accuracy in recognizing 12 materials. Furthermore, integrated into a robotic hand, the FTS enables real-time material identification and force detection in an intelligent sorting environment. This research holds great potential for applications in tactile perception for intelligent robotics.

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用于多向力和材料识别的多模态指形触觉传感器
多模态触觉感知对于推进人机交互至关重要,但实时多维力检测和材料识别仍然具有挑战性。本文提出了一种基于摩擦电效应的手指型触觉传感器(FTS),具有多向力传感和材料识别功能。FTS由外部材料识别部分和内部力传感部分组成。将三种材料嵌入指垫内硅胶壳表面,形成单电极传感器进行材料识别。在力传感部分,硅胶壳的外表面涂有导电银浆作为屏蔽层。内壁有四个硅胶微针阵列和一个硅胶凸起,而五个银电极涂在内部聚乳酸骨架上。这些组件通过指甲附近的联锁结构连接起来,允许硅胶外壳和骨架之间的局部接触和分离,从而通过来自五个电极的信号实现力方向检测。此外,外部传感器对12种材料的识别准确率达到98.33%。此外,FTS集成到机器人手中,可以在智能分拣环境中实现实时材料识别和力检测。该研究在智能机器人触觉感知方面具有很大的应用潜力。
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来源期刊
Advanced Materials
Advanced Materials 工程技术-材料科学:综合
CiteScore
43.00
自引率
4.10%
发文量
2182
审稿时长
2 months
期刊介绍: Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.
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