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All in One, Self-Powered Bionic Artificial Nerve Based on a Triboelectric Nanogenerator
Advanced Science ( IF 14.3 ) Pub Date : 2021-05-03 , DOI: 10.1002/advs.202004727 Qian Zhang 1, 2 , Zixuan Zhang 1, 2, 3 , Qijie Liang 4 , Qiongfeng Shi 1, 2, 3, 5 , Minglu Zhu 1, 2, 3, 5 , Chengkuo Lee 1, 2, 3, 5, 6
Advanced Science ( IF 14.3 ) Pub Date : 2021-05-03 , DOI: 10.1002/advs.202004727 Qian Zhang 1, 2 , Zixuan Zhang 1, 2, 3 , Qijie Liang 4 , Qiongfeng Shi 1, 2, 3, 5 , Minglu Zhu 1, 2, 3, 5 , Chengkuo Lee 1, 2, 3, 5, 6
Affiliation
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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.
中文翻译：
基于摩擦纳米发电机的一体化自供电仿生人工神经
感觉和神经系统在调节与世界的互动中发挥着重要作用。对神经形态计算的追求激发了人工感觉和神经系统的创新。在这里，开发了一种一体化、可定制的人工感知和传输神经（APTN），用于模仿生物感觉和神经能力来检测和传输机械刺激的位置信息。APTN 通过采用梯度厚度介电层和网格表面结构，通过单个摩擦电电极检测多个像素，表现出出色的可靠性。APTN上采用滑动模式来消除输出信号的幅度影响，如力、层间距离。通过定制几何形状，L形APTN被证明可用于单电极仿生人工神经的二维检测。此外，还制造了基于 APTN 的假肢，以仿生方式识别和传输刺激位置信号以形成反馈模式。APTN具有成本低、安装方便、灵活性好等特点，是一种很有前景的人工感觉和神经系统，可用于人工智能、人机界面和机器人应用。
更新日期：2021-06-24
中文翻译：
基于摩擦纳米发电机的一体化自供电仿生人工神经
感觉和神经系统在调节与世界的互动中发挥着重要作用。对神经形态计算的追求激发了人工感觉和神经系统的创新。在这里，开发了一种一体化、可定制的人工感知和传输神经（APTN），用于模仿生物感觉和神经能力来检测和传输机械刺激的位置信息。APTN 通过采用梯度厚度介电层和网格表面结构，通过单个摩擦电电极检测多个像素，表现出出色的可靠性。APTN上采用滑动模式来消除输出信号的幅度影响，如力、层间距离。通过定制几何形状，L形APTN被证明可用于单电极仿生人工神经的二维检测。此外，还制造了基于 APTN 的假肢，以仿生方式识别和传输刺激位置信号以形成反馈模式。APTN具有成本低、安装方便、灵活性好等特点，是一种很有前景的人工感觉和神经系统，可用于人工智能、人机界面和机器人应用。
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