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Artificial Skin Perception
Advanced Materials ( IF 27.4 ) Pub Date : 2020-09-15 , DOI: 10.1002/adma.202003014
Ming Wang 1 , Yifei Luo 1 , Ting Wang 1 , Changjin Wan 1 , Liang Pan 1 , Shaowu Pan 1 , Ke He 1 , Aden Neo 1 , Xiaodong Chen 1
Affiliation  

Skin is the largest organ, with the functionalities of protection, regulation, and sensation. The emulation of human skin via flexible and stretchable electronics gives rise to electronic skin (e‐skin), which has realized artificial sensation and other functions that cannot be achieved by conventional electronics. To date, tremendous progress has been made in data acquisition and transmission for e‐skin systems, while the implementation of perception within systems, that is, sensory data processing, is still in its infancy. Integrating the perception functionality into a flexible and stretchable sensing system, namely artificial skin perception, is critical to endow current e‐skin systems with higher intelligence. Here, recent progress in the design and fabrication of artificial skin perception devices and systems is summarized, and challenges and prospects are discussed. The strategies for implementing artificial skin perception utilize either conventional silicon‐based circuits or novel flexible computing devices such as memristive devices and synaptic transistors, which enable artificial skin to surpass human skin, with a distributed, low‐latency, and energy‐efficient information‐processing ability. In future, artificial skin perception would be a new enabling technology to construct next‐generation intelligent electronic devices and systems for advanced applications, such as robotic surgery, rehabilitation, and prosthetics.

中文翻译:


人造皮肤感知



皮肤是最大的器官,具有保护、调节、感觉等功能。通过柔性、可拉伸的电子器件模拟人体皮肤,产生了电子皮肤(e-skin),它实现了人工感觉和其他传统电子器件无法实现的功能。迄今为止,电子皮肤系统的数据采集和传输已经取得了巨大进展,而系统内感知的实现,即传感数据处理仍处于起步阶段。将感知功能集成到灵活且可拉伸的传感系统中,即人工皮肤感知,对于赋予当前电子皮肤系统更高的智能至关重要。在这里,总结了人造皮肤感知设备和系统的设计和制造的最新进展,并讨论了挑战和前景。实现人造皮肤感知的策略利用传统的硅基电路或新颖的灵活计算设备,例如忆阻设备和突触晶体管,这使得人造皮肤超越人类皮肤,具有分布式、低延迟和节能的信息。加工能力。未来,人造皮肤感知将成为一种新的使能技术,用于构建下一代智能电子设备和系统,用于机器人手术、康复和假肢等先进应用。
更新日期:2020-09-15
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