Flexible electronics in humanoid five senses for the era of artificial intelligence of things (AIoT)

IF 22 1区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Jianxiong Zhu , Bairong Sun , Mingxuan Xi , Yifan Zhan , Bin Zhang , Yali Zhu
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Abstract

The safe and amicable interactions around humans have become a significant area of focus due to the rapid advancements in flexible electronics, artificial intelligence (AI), and the internet of things (IoT). It has been demonstrated that combining artificial intelligence of things (AIoT) with adaptable sensing technology improves data identification, opening the door to the creation of intelligent sensory robotics systems, including humanoid robots that mimic five senses. The integration of flexible sensing technologies with functional materials, mechanisms, and AIoT to develop sophisticated human–machine interaction (HMI) across the five senses is well-discussed to solidify the potential development in flexible electronics. For example, in order to create intelligent sensory systems that can replicate human sensations, the creative structures and functional materials for flexible sensing systems were summarized. In order to show intelligent perception systems improved flexible HMI sensing robotics, this review also examined their applications in a variety of domains in the five senses, including speech, olfactory, gustatory, tactile, visual, and auditory perception. In the end, the smarter systems with environmental “self-awareness” AIoT to pave the way for new possibilities in the age of intelligent society highlight the difficulties and potential future developments in creating AI-driven smart flexible sensor systems.

Abstract Image

面向物联网人工智能(AIoT)时代的柔性类人五感电子产品
随着柔性电子产品、人工智能(AI)、物联网(IoT)的快速发展,人类周围的安全友好互动已成为一个重要的关注领域。事实证明,将物联网人工智能(AIoT)与适应性传感技术相结合可以改善数据识别,为创建智能感官机器人系统(包括模仿五种感官的类人机器人)打开了大门。将柔性传感技术与功能材料、机制和AIoT相结合,开发跨五种感官的复杂人机交互(HMI),以巩固柔性电子的潜在发展。例如,为了创造能够复制人类感觉的智能感知系统,综述了柔性感知系统的创新结构和功能材料。为了展示智能感知系统对柔性人机界面传感机器人的改进,本文还综述了智能感知系统在语音、嗅觉、味觉、触觉、视觉和听觉等五种感官领域的应用。最后,具有环境“自我意识”的智能系统AIoT为智能社会时代的新可能性铺平了道路,突出了创建人工智能驱动的智能柔性传感器系统的困难和潜在的未来发展。
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来源期刊
Materials Today
Materials Today 工程技术-材料科学:综合
CiteScore
36.30
自引率
1.20%
发文量
237
审稿时长
23 days
期刊介绍: Materials Today is the leading journal in the Materials Today family, focusing on the latest and most impactful work in the materials science community. With a reputation for excellence in news and reviews, the journal has now expanded its coverage to include original research and aims to be at the forefront of the field. We welcome comprehensive articles, short communications, and review articles from established leaders in the rapidly evolving fields of materials science and related disciplines. We strive to provide authors with rigorous peer review, fast publication, and maximum exposure for their work. While we only accept the most significant manuscripts, our speedy evaluation process ensures that there are no unnecessary publication delays.
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