Evidence map›Paper›PMID 40011435›Full record

ArticleMicrosystems & nanoengineering2025

Hollow fiber-based strain sensors with desirable modulus and sensitivity at effective deformation for dexterous electroelastomer cylindrical actuator.

Yang Zhang, Keqi Deng, Tingting Shen, Yong Huang, Zhenjin Xu, Jinhui Zhang, Hang Jin, Xin Liu, Lida Xu, Lianjie Lu and 3 more

Abstract read
In one paragraph

Article in Microsystems & nanoengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Yang ZhangPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.
Keqi DengPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.
Tingting ShenPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.
Yong HuangPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.
Zhenjin XuPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.ORCID http://orcid.org/0000-0002-4567-3079
Jinhui ZhangDepartment of Mechanical & Electrical Engineering, Xiamen University, 361005, Xiamen, China.
Hang JinPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.
Xin LiuPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.
Lida XuPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.
Lianjie LuPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.
Shiying LiDepartment of Ophthalmology, The First Affiliated Hospital of Xiamen University, School of Medicine, 361005, Xiamen, Fujian Province, China.
Daoheng SunPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China.ORCID http://orcid.org/0000-0001-7729-1481
Dezhi WuPen-Tung Sah Institute of Micro-Nano Science and Technology, Xiamen University, 361005, Xiamen, China. wdz@xmu.edu.cn.ORCID http://orcid.org/0000-0001-7152-3069

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52075464
6 · The paper itself

Abstract

The electroelastomer cylindrical actuators, a typical representation of soft actuators, have recently aroused increasing interest owing to their advantages in flexibility, deformability, and spatial utilization rate. Proprioception is crucial for controlling and monitoring the shape and position of these actuators. However, most existing flexible sensors have a modulus mismatch with the actuation unit, hindering the free movement of these actuators. Herein, a low-modulus strain sensor based on laser-induced cellular graphitic flakes (CGF) onto the surface of hollow TPU fibers (HTF) is present. Through the electrostatic self-assembly technology, the flexible sensor features a unique hybrid sensing unit including soft HTF as substrate and rigid CGF as conductive path. As a result, the sensor simultaneously possesses desirable modulus (~0.155 MPa), a gauge factor of 220.3 (25% < ε < 50%), fast response/recovery behaviors (31/62 ms), and a low detection limit (0.1% strain). Integrating the sensor onto the electroelastomer cylindrical actuators enables precise measurement of deformation modes, directions, and quantity. As proof-of-concept demonstrations, a prototype soft robot with high-precision perception is successfully designed, achieving real-time detection of its deformations during the crawling process. Thus, the proposed scheme sheds new light on the development of intelligent soft robots.

Identifiers

PMID40011435
PMCPMC11865588

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.