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作 者:Xuemei Wang Fan Yang Qing Liu Zien Zhang Zhixing Wen Jiangang Chen Qirui Zhang Cheng Wang Ge Wang Fucai Liu
机构地区:[1]School of Optoelectronic Science and Engineering,University of Electronic Science and Technology of China,Chengdu 610054,China [2]Yangtze Delta Region Institute(Huzhou),University of Electronic Science and Technology of China,Huzhou 313099,China
出 处:《Journal of Semiconductors》2024年第6期47-63,共17页半导体学报(英文版)
摘 要:Robots are widely used,providing significant convenience in daily life and production.With the rapid development of artificial intelligence and neuromorphic computing in recent years,the realization of more intelligent robots through a pro-found intersection of neuroscience and robotics has received much attention.Neuromorphic circuits based on memristors used to construct hardware neural networks have proved to be a promising solution of shattering traditional control limita-tions in the field of robot control,showcasing characteristics that enhance robot intelligence,speed,and energy efficiency.Start-ing with introducing the working mechanism of memristors and peripheral circuit design,this review gives a comprehensive analysis on the biomimetic information processing and biomimetic driving operations achieved through the utilization of neuro-morphic circuits in brain-like control.Four hardware neural network approaches,including digital-analog hybrid circuit design,novel device structure design,multi-regulation mechanism,and crossbar array,are summarized,which can well simulate the motor decision-making mechanism,multi-information integration and parallel control of brain at the hardware level.It will be definitely conductive to promote the application of memristor-based neuromorphic circuits in areas such as intelligent robotics,artificial intelligence,and neural computing.Finally,a conclusion and future prospects are discussed.
关 键 词:neuromorphic devices neuromorphic circuits hardware networks MEMRISTORS humanlike robots
分 类 号:TP2[自动化与计算机技术—检测技术与自动化装置]
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