Bioinspired Triboelectric Nanogenerators as Self‐Powered Electronic Skin for Robotic Tactile Sensing

Yao Guo, Liang Xu, Xiaowen Cheng, Yangyang Li, Xin Huang, Wei Guo, Shaoyu Liu, Zhong Lin Wang, Hao Wu

Advanced Functional Materials · 2019 · 373 citations · 46 references

Concepts

TL;DR

Electronic skin is gaining attention for robotics, human–machine interfaces, and healthcare, and triboelectric nanogenerators are emerging as an effective self‑powered approach for such sensors. This work develops bioinspired triboelectric nanogenerators as self‑powered e‑skin sensors for robotic tactile sensing. By replicating natural plant surface morphology to create interlocking microstructures on tribo‑layers and adding PTFE tiny burrs, the authors fabricate sensors that detect handshaking pressure, finger bending angles, and surface roughness for object recognition. The sensors achieve a 14‑fold increase in pressure sensitivity and demonstrate promising potential for robotic dexterous manipulation, prosthetics, and human–machine interfaces.

Abstract

Abstract Electronic skin (e‐skin) has been under the spotlight due to great potential for applications in robotics, human–machine interfaces, and healthcare. Meanwhile, triboelectric nanogenerators (TENGs) have been emerging as an effective approach to realize self‐powered e‐skin sensors. In this work, bioinspired TENGs as self‐powered e‐skin sensors are developed and their applications for robotic tactile sensing are also demonstrated. Through the facile replication of the surface morphology of natural plants, the interlocking microstructures are generated on tribo‐layers to enhance triboelectric effects. Along with the adoption of polytetrafluoroethylene (PTFE) tinny burrs on the microstructured tribo‐surface, the sensitivity for pressure measurement is boosted with a 14‐fold increase. The tactile sensing capability of the TENG e‐skin sensors are demonstrated through the characterizations of handshaking pressure and bending angles of each finger of a bionic hand during handshaking with human. The TENG e‐skin sensors can also be utilized for tactile object recognition to measure surface roughness and discern hardness. The facile fabrication scheme of the self‐powered TENG e‐skin sensors enables their great potential for applications in robotic dexterous manipulation, prosthetics, human–machine interfaces, etc.

References

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