Magnetic-induced deformation driving triboelectric sensor with dual-mode perception for magnetic field and contacting pressure

Integrating magnetic field evasion and obstacle avoidance is crucial for the safe operation of intelligent robots, yet the limited sensitivity and discrete structure of magnetic field/pressure dual-mode sensors hinder their broader application. In this work, we present a dual-mode triboelectric sensor (DM-TS) that achieves noncontact magnetic field sensing and contact pressure sensing by incorporating ferrofluid as a triboelectric material. Under varying magnetic field intensities or directions, it redistributes along the magnetic field lines, modulating its contact area with spiked silicone rubber to generate distinct electrical signals for magnetic field sensing. The DM-TS exhibits a longitudinal magnetic field sensitivity of 11.35 V/T in the linear response region ranging from 63 ~ 277 mT, which is comparable to existing flexible magnetosensitive devices or commercial Hall effect sensors. For contact sensing, applied pressure deforms the silicone rubber with spike structures, altering the contact area between triboelectric layers and producing corresponding electrical outputs. The pressure sensitivity increases with the applied pressure range, reaching 370.56 mV/kPa within the 19.37-27.3 kPa range. As a proof-of-concept for intelligent robotic systems, the DM-TS has been integrated into an unmanned ground vehicle (UGV), successfully demonstrating simultaneous strong magnetic field evasion and obstacle avoidance.

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Publication Details

Journal
Microsystems & Nanoengineering
Published
2026-04-28
DOI
https://doi.org/10.1038/s41378-026-01285-2
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Magnetic-induced deformation driving triboelectric sensor with dual-mode perception for magnetic field and contacting pressure

Shengxin Wang, Azamat Yeshmukhametov, Gulnur Kalimuldina, Zhenqiu Gao et al.
Microsystems & Nanoengineering
Advanced Sensor and Energy Harvesting Materials
article

Magnetic-induced deformation driving triboelectric sensor with dual-mode perception for magnetic field and contacting pressure

Shengxin Wang, Azamat Yeshmukhametov, Gulnur Kalimuldina, Zhenqiu Gao, Tingyu Zeng, Shuzhe Qin, Hao Lei, Zhen Wen, Tingting Zhang, Weiwei Zhang
article en

Abstract

Integrating magnetic field evasion and obstacle avoidance is crucial for the safe operation of intelligent robots, yet the limited sensitivity and discrete structure of magnetic field/pressure dual-mode sensors hinder their broader application. In this work, we present a dual-mode triboelectric sensor (DM-TS) that achieves noncontact magnetic field sensing and contact pressure sensing by incorporating ferrofluid as a triboelectric material. Under varying magnetic field intensities or directions, it redistributes along the magnetic field lines, modulating its contact area with spiked silicone rubber to generate distinct electrical signals for magnetic field sensing. The DM-TS exhibits a longitudinal magnetic field sensitivity of 11.35 V/T in the linear response region ranging from 63 ~ 277 mT, which is comparable to existing flexible magnetosensitive devices or commercial Hall effect sensors. For contact sensing, applied pressure deforms the silicone rubber with spike structures, altering the contact area between triboelectric layers and producing corresponding electrical outputs. The pressure sensitivity increases with the applied pressure range, reaching 370.56 mV/kPa within the 19.37-27.3 kPa range. As a proof-of-concept for intelligent robotic systems, the DM-TS has been integrated into an unmanned ground vehicle (UGV), successfully demonstrating simultaneous strong magnetic field evasion and obstacle avoidance.

Microsystems & NanoengineeringVol. 12(1)
Soochow University (CN), Heze University (CN), Nazarbayev University (KZ), Xi’an Jiaotong-Liverpool University (CN)
National Natural Science Foundation of China, Government of Jiangsu Province, Natural Science Foundation of Jiangsu Province, Natural Science Foundation of Shandong Province, Heze University, Higher Education Discipline Innovation Project
Affordable and clean energy
Openalex Percentile: Top 14%
Advanced Sensor and Energy Harvesting Materials
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