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All in One, Self‐Powered Bionic Artificial Nerve Based on a Triboelectric Nanogenerator

Qian Zhang, Zixuan Zhang, Qijie Liang, Qiongfeng Shi, Minglu Zhu, Chengkuo Lee

发表年份
2021
引用次数
47

摘要

Sensory and nerve systems play important role in mediating the interactions with the world. The pursuit of neuromorphic computing has inspired innovations in artificial sensory and nervous systems. Here, an all-in-one, tailorable artificial perception, and transmission nerve (APTN) was developed for mimicking the biological sensory and nervous ability to detect and transmit the location information of mechanical stimulation. The APTN shows excellent reliability with a single triboelectric electrode for the detection of multiple pixels, by employing a gradient thickness dielectric layer and a grid surface structure. The sliding mode is used on the APTN to eliminate the amplitude influence of output signal, such as force, interlayer distance. By tailoring the geometry, an L-shaped APTN is demonstrated for the application of single-electrode bionic artificial nerve for 2D detection. In addition, an APTN based prosthetic arm is also fabricated to biomimetically identify and transmit the stimuli location signal to pattern the feedback. With features of low-cost, easy installation, and good flexibility, the APTN renders as a promising artificial sensory and nervous system for artificial intelligence, human-machine interface, and robotics applications.

关键词

Neuromorphic engineeringTriboelectric effectComputer scienceNanogeneratorSensory systemRoboticsSIGNAL (programming language)Artificial intelligenceBiomimeticsMaterials science

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