Graphene-based dual-function acoustic transducers for machine learning-assisted human-robot interfaces  

作　　者：Hao Sun Xin Gao Liang-Yan Guo Lu-Qi Tao Zi Hao Guo Yangshi Shao Tianrui Cui Yi Yang Xiong Pu Tian-Ling Ren 

机构地区：[1]Institute of Microelectronics and Beijing National Research Center for Information Science and Technology(BNRist),Tsinghua University,Beijing,People's Republic of China [2]CAS Center for Excellence in Nanoscience,Beijing Key Laboratory of Micro-nano Energy and Sensor,Beijing Institute of Nanoenergy and Nanosystems,Chinese Academy of Sciences,Beijing,People's Republic of China [3]State Key Laboratory of Power Transmission Equipment and System Security and New Technology,School of Electrical Engineering,Chongqing University,Chongqing,People's Republic of China [4]School of Computer Science&Technology,Beijing Institute of Technology,Beijing,People's Republic of China [5]School of Automation and Electrical Engineering,University of Science and Technology Beijing,Beijing,People's Republic of China

出　　处：《InfoMat》2023年第2期66-79,共14页信息材料（英文）

基　　金：This work was financially supported in the National Natural Science Foundation of China(Nos.61901064,52173274);National Key R&D Project from Minister of Science and Technology(2021YFA1201603);Natural Science Foundation of Chongqing(cstc2020jcyjmsxmX0397);the Strategic Priority Research Program of the Chinese Academy of Sciences(XDA16021101);Chongqing Special Key Project for Technological Innovation and Application Development(cstc2019jscxfxyd0262);Fundamental Research Funds for Central Universities(2020CDJ-LHZZ-077).

摘　　要：Human–robot interface(HRI)electronics are critical for realizing robotic intelligence.Here,we report graphene-based dual-function acoustic transducers for machine learning-assisted human–robot interfaces(GHRI).The GHRI functions both an artificial ear through the triboelectric acoustic sensing mechanism and an artificial mouth through the thermoacoustic sound emission mechanism.The success of the integrated device is also attributed to the multifunctional laser-induced graphene,as either triboelectric materials,electrodes,or thermoacoustic sources.By systematically optimizing the structure parameters,the GHRI achieves high sensitivity(4500 mV Pa^(–1))and operating durability(1000000 cycles and 60 days),capable of recognizing speech identities,emotions,content,and other information in the human speech.With the assistance of machine learning,30 speech categories are trained by a convolutional neural network,and the accuracy reaches 99.66%and 96.63%in training datasets and test datasets.Furthermore,GHRI is used for artificial intelligence communication based on recognized speech features.Our work shows broad prospects for the development of robotic intelligence.

关 键 词：human-robot interface laser-induced graphene machine learning THERMOACOUSTIC triboelectric nanogenerator 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程] TQ127.11[自动化与计算机技术—控制科学与工程]