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Rotation sensing and gesture control of a robot joint via triboelectric quantization sensor

Pu, Xianjie, Guo, Hengyu, Tang, Qian, Chen, Jie, Feng, Li, Liu, Guanlin, Wang, Xue, Xi, Yi, Hu, Chenguo, Wang, Zhong Lin·2018·Nano Energy

Abstract

Abstract In human-machine interaction, robotic hands are expected to work like human's hands and to be even more powerful or delicate in certain situations. To operate robotic hands via human gesture instead of handle or button will make this human-robot interface more natural and precise. Here, we designed a joint motion triboelectric quantization sensor (jmTQS) for constructing a robotic hand synchronous control system. Based on the ultrahigh sensitivity of a triboelectric nanogenerator (TENG) to mechanical displacement, the jmTQS designed as grating-sliding mode realized directly quantifying a joint's flexion-extension degree/speed. Through counting the pulses induced by jmTQS and signing the positive/negative of the pulses to represent flexion/extension, the joint's angular position can be determined with absolute value on the basis of the initial human-robotic synchronizing position value. In the whole operating course, the intuitionistic human-robotic hand two-dimensional motion mapping can be preserved. The minimum resolution angle of the fabricated jmTQSs is 3.8° and can be further improved by decreasing the grating width. This direct quantization and intuitionistic mapping at the sensing stage greatly simplified the signal processing and classification algorithms, which contributes to achieving the natural, high-precision and real-time interface.

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Metadata

Authors
Pu, X., Guo, H., Tang, Q., Chen, J., Feng, L., Liu, G., Wang, X., Xi, Y., Hu, C., & Wang, Z. L.
Venue
Nano Energy
Publisher
Elsevier BV
Published
2018-12
Volume
54
Pages
453-460
ISSN
2211-2855 (ISSN-L)
OpenAlex
W2898584555
Cited by
244
References
3
FWCI
11.70
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Rotation sensing and gesture control of a robot joint via triboelectric quantization sensor. https://app.cochat.ai/papers/10.1016/j.nanoen.2018.10.044
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Pu, X., Guo, H., Tang, Q., Chen, J., Feng, L., Liu, G., Wang, X., Xi, Y., Hu, C., & Wang, Z. L. (2018). Rotation sensing and gesture control of a robot joint via triboelectric quantization sensor. Nano Energy. https://doi.org/10.1016/j.nanoen.2018.10.044

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