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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, Zhi Hua Feng, Unyong Jeong, Hongbo Wang

发表年份
2025
引用次数
6
访问权限
开放获取

摘要

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. The authors present a magnetic crack-based piezoinductive sensor which detects bidirectional bending with a precision of 0.01° from −200° to 327°, showing maintained performance when submerged in hot and cold water, scratched in half, or run over by a car.

关键词

Robustness (evolution)Sensitivity (control systems)Computer scienceBiologyEngineeringElectronic engineeringGenetics

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