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Journal of Bionic Engineering

, Volume 15, Issue 3, pp 409–434 | Cite as

Artificial Hair-Like Sensors Inspired from Nature: A Review

  • Zhiwu Han
  • Linpeng Liu
  • Kejun Wang
  • Honglie Song
  • Daobing Chen
  • Ze Wang
  • Shichao Niu
  • Junqiu Zhang
  • Luquan Ren
Article

Abstract

Nature creatures have evolved excellent receptors, such as sensory hairs in arthropods, lateral line system of fishes. Researchers inspired by nature creatures have developed various mechanical sensors. Here, we provide an overview on the development of Artificial Hair-Like (AHL) sensors based on the inspiration of hair flow sensory receptors, especially sensory hairs in arthropods and lateral line systems of fishes. We classify the developed AHL sensors into several categories according to the operating principles they based on, for example, piezoresistive and piezoelectric effects. The current challenges and existing problems in the development of AHL sensors are also present, which were primarily restricted by the exploratory tools of sensing mechanism of creatures and current manufacturing technologies. In future, more efforts are required in order to further improve the performance of AHL sensors. We expect that intelligent multi-functional AHL sensors can be applied not only in applications like navigation of underwater automatic vehicles, underwater search and rescue, tap-water metering, air monitoring and even in medicare, but also potentially be used in space robots to detect complex topography.

Keywords

sensory receptors sensory hairs lateral line systems AHL sensors 

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Notes

Acknowledgments

This research was supported by the Natural Science Foundation of China (Nos. 51325501, 51675220 and 51205161), Natural Science Foundation of Jilin Province of China (No. 20170101115JC), the 13th Five-Year scientific research project of Education Department of Jilin Province (No. 2015474).

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Copyright information

© Jilin University 2018

Authors and Affiliations

  • Zhiwu Han
    • 1
  • Linpeng Liu
    • 1
  • Kejun Wang
    • 1
  • Honglie Song
    • 1
  • Daobing Chen
    • 1
  • Ze Wang
    • 1
  • Shichao Niu
    • 1
  • Junqiu Zhang
    • 1
  • Luquan Ren
    • 1
  1. 1.Key Laboratory of Bionic Engineering (Ministry of Education, China)Jilin UniversityChangchunChina

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