School of Physical Science and Technology, Key Laboratory of Advanced Technology of Materials, Southwest Jiaotong University, Chengdu, Sichuan, 610031, China.
Frontier Institute of Science and Technology (FIST), Xi'an Jiaotong University, Xi'an, Shaanxi, 710049, China.
Small. 2024 May;20(19):e2308918. doi: 10.1002/smll.202308918. Epub 2023 Dec 27.
Bioinspired tactile devices can effectively mimic and reproduce the functions of the human tactile system, presenting significant potential in the field of next-generation wearable electronics. In particular, memristor-based bionic tactile devices have attracted considerable attention due to their exceptional characteristics of high flexibility, low power consumption, and adaptability. These devices provide advanced wearability and high-precision tactile sensing capabilities, thus emerging as an important research area within bioinspired electronics. This paper delves into the integration of memristors with other sensing and controlling systems and offers a comprehensive analysis of the recent research advancements in memristor-based bionic tactile devices. These advancements incorporate artificial nociceptors and flexible electronic skin (e-skin) into the category of bio-inspired sensors equipped with capabilities for sensing, processing, and responding to stimuli, which are expected to catalyze revolutionary changes in human-computer interaction. Finally, this review discusses the challenges faced by memristor-based bionic tactile devices in terms of material selection, structural design, and sensor signal processing for the development of artificial intelligence. Additionally, it also outlines future research directions and application prospects of these devices, while proposing feasible solutions to address the identified challenges.
仿生触觉设备可以有效地模拟和再现人类触觉系统的功能，在下一代可穿戴电子领域具有巨大的潜力。特别是基于忆阻器的仿生触觉设备因其出色的高灵活性、低功耗和适应性等特点而备受关注。这些设备提供了先进的可穿戴性和高精度触觉感应能力，因此成为仿生电子学中的一个重要研究领域。本文深入探讨了忆阻器与其他传感和控制系统的集成，并对基于忆阻器的仿生触觉设备的最新研究进展进行了全面分析。这些进展将人工伤害感受器和柔性电子皮肤（电子皮肤）纳入具有传感、处理和响应刺激能力的仿生传感器类别，有望推动人机交互的革命性变化。最后，本文讨论了基于忆阻器的仿生触觉设备在材料选择、结构设计和传感器信号处理方面面临的挑战，以开发人工智能。此外，还概述了这些设备的未来研究方向和应用前景，并提出了解决已确定挑战的可行方案。
