Fingerprint-inspired dual-mode pressure sensor for robotic static and dynamic perception

  • Xiang Fu
  • , Jianing Dong
  • , Ling Li
  • , Liang Zhang
  • , Jiqiang Zhang
  • , Longteng Yu
  • , Qinhao Lin
  • , Jiahe Zhang
  • , Chengpeng Jiang
  • , Jin Zhang
  • , Yancheng Wang
  • , Wenzhuo Wu
  • , Fengru Fan
  • , Yixiu Wang*
  • , Qing Yang
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The capability of perceiving the uncertain environment and the adaptation to external stimuli is of main concern in robotics. Inspired by the outer microstructure of the human fingerprint, a dual-mode tactile sensor is developed, consisting of capacitive sensing units for the static force perception, hybrid nanogenerators for the dynamic response and fingerprint-like hierarchical winkles. By leveraging the individual areas and jointing spaces, eight functional electrode points are defined, achieving position sensing with clear differentiation even under various operations, including tapping and sliding interactions. After conformally interrelating the piezoelectric layer into the triboelectric separator, the carbon-silicone composites enhanced capacitor with the as-designed functions can convert external mechanical energy into electricity, whilst detecting three-axis force with high sensitivity and wide linear range. Moreover, the device is demonstrated to detect high-frequency vibration and slow micro-friction phenomena, ensuring a stable and repeatable identification of the typical robotic hand movement.

Original languageEnglish
Article number107788
JournalNano Energy
Volume103
DOIs
StatePublished - 1 Dec 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Fingerprint-inspired
  • Self-powered
  • Static and dynamic perception
  • Surface texture recognition

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