Sun Tianming, Feng Bin, Huo Jinpeng, Xiao Yu, Wang Wengan, Peng Jin, Li Zehua, Du Chengjie, Wang Wenxian, Zou Guisheng, Liu Lei
Department of Mechanical Engineering, State Key Laboratory of Tribology in Advanced Equipment, Key Laboratory for Advanced Manufacturing by Materials Processing Technology, Ministry of Education of PR China, Tsinghua University, Beijing, 100084, People's Republic of China.
College of Materials Science and Engineering, Shanxi Province, Taiyuan University of Technology, Taiyuan, 030024, People's Republic of China.
Nanomicro Lett. 2023 Nov 13;16(1):14. doi: 10.1007/s40820-023-01235-x.
The recent wave of the artificial intelligence (AI) revolution has aroused unprecedented interest in the intelligentialize of human society. As an essential component that bridges the physical world and digital signals, flexible sensors are evolving from a single sensing element to a smarter system, which is capable of highly efficient acquisition, analysis, and even perception of vast, multifaceted data. While challenging from a manual perspective, the development of intelligent flexible sensing has been remarkably facilitated owing to the rapid advances of brain-inspired AI innovations from both the algorithm (machine learning) and the framework (artificial synapses) level. This review presents the recent progress of the emerging AI-driven, intelligent flexible sensing systems. The basic concept of machine learning and artificial synapses are introduced. The new enabling features induced by the fusion of AI and flexible sensing are comprehensively reviewed, which significantly advances the applications such as flexible sensory systems, soft/humanoid robotics, and human activity monitoring. As two of the most profound innovations in the twenty-first century, the deep incorporation of flexible sensing and AI technology holds tremendous potential for creating a smarter world for human beings.
最近一波人工智能（AI）革命引发了人们对人类社会智能化前所未有的兴趣。作为连接物理世界和数字信号的关键组成部分，柔性传感器正从单一传感元件向更智能的系统演进，该系统能够对海量、多面的数据进行高效采集、分析甚至感知。尽管从人工角度来看具有挑战性，但由于受大脑启发的人工智能创新在算法（机器学习）和框架（人工突触）层面的快速发展，智能柔性传感的发展得到了显著推动。本综述介绍了新兴的人工智能驱动的智能柔性传感系统的最新进展。介绍了机器学习和人工突触的基本概念。全面回顾了人工智能与柔性传感融合所带来的新的赋能特性，这些特性显著推动了柔性传感系统、软/类人机器人以及人类活动监测等应用的发展。作为21世纪最深刻的两项创新，柔性传感与人工智能技术的深度融合为人类创造更智能的世界拥有巨大潜力。
