Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivity
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...
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2025-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-025-61784-0 |
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| author | Yulian Peng Zhengyan Wang Houping Wu Junchen Luo Xinxin Chang Yufeng Wang Shiwu Zhang Zhihua Feng Unyong Jeong Hongbo Wang |
| author_facet | Yulian Peng Zhengyan Wang Houping Wu Junchen Luo Xinxin Chang Yufeng Wang Shiwu Zhang Zhihua Feng Unyong Jeong Hongbo Wang |
| author_sort | Yulian Peng |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-723f118a1ff04ad38167ddf58ccfe9f0 |
| institution | Kabale University |
| issn | 2041-1723 |
| language | English |
| publishDate | 2025-07-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj-art-723f118a1ff04ad38167ddf58ccfe9f02025-08-20T04:03:02ZengNature PortfolioNature Communications2041-17232025-07-0116111010.1038/s41467-025-61784-0Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivityYulian Peng0Zhengyan Wang1Houping Wu2Junchen Luo3Xinxin Chang4Yufeng Wang5Shiwu Zhang6Zhihua Feng7Unyong Jeong8Hongbo Wang9Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of ChinaDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of ChinaDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of ChinaDepartment of Materials Science and Engineering, Pohang University of Science and TechnologyDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of ChinaDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of ChinaDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of ChinaDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of ChinaDepartment of Materials Science and Engineering, Pohang University of Science and TechnologyDepartment of Precision Machinery and Precision Instrumentation, University of Science and Technology of ChinaAbstract 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.https://doi.org/10.1038/s41467-025-61784-0 |
| spellingShingle | Yulian Peng Zhengyan Wang Houping Wu Junchen Luo Xinxin Chang Yufeng Wang Shiwu Zhang Zhihua Feng Unyong Jeong Hongbo Wang Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivity Nature Communications |
| title | Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivity |
| title_full | Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivity |
| title_fullStr | Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivity |
| title_full_unstemmed | Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivity |
| title_short | Magnetic crack-based piezoinductive mechanical sensors: way to extreme robustness and ultra-sensitivity |
| title_sort | magnetic crack based piezoinductive mechanical sensors way to extreme robustness and ultra sensitivity |
| url | https://doi.org/10.1038/s41467-025-61784-0 |
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