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Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivity

Yulian Peng, Zhengyan Wang, Houping Wu, Junchen Luo, Xinxin Chang, Yufeng Wang, Shiwu Zhang, Zhihua Feng, Unyong Jeong () and Hongbo Wang ()
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Yulian Peng: University of Science and Technology of China
Zhengyan Wang: University of Science and Technology of China
Houping Wu: University of Science and Technology of China
Junchen Luo: Pohang University of Science and Technology
Xinxin Chang: University of Science and Technology of China
Yufeng Wang: University of Science and Technology of China
Shiwu Zhang: University of Science and Technology of China
Zhihua Feng: University of Science and Technology of China
Unyong Jeong: Pohang University of Science and Technology
Hongbo Wang: University of Science and Technology of China

Nature Communications, 2025, vol. 16, issue 1, 1-10

Abstract: Abstract Soft mechanical sensors with high performance, mechanical robustness, and manufacturing reproducibility are crucial for robotics perception, but simultaneously satisfying these criteria is rarely achieved. Here, we suggest a magnetic crack-based piezoinductive sensor (MC-PIS) which exploits the strain modulation of magnetic flux in cracked ferrite films. The MC-PIS is insensitive to fatigue-induced crack propagation and environmental changes, showing same performance even when scratched in half or run over by a car. It can detect bidirectional bending with a precision of 0.01° from −200° to 327°, allowing for real-time reconstruction of dynamic shape changes of a flexible ribbon. We demonstrate an artificial finger recognizing surface topology and musical notes via vibrations, a crawling robot responding appropriately to external stimuli, a tree-planting gripper performing consecutive tasks from digging soil, removing stones, to placing trees. The MC-PIS opens a new paradigm to develop ultrasensitive yet highly robust sensors in real-world robotics applications.

Date: 2025
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DOI: 10.1038/s41467-025-61784-0

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