弯曲
材料科学
软机器人
数码产品
执行机构
机器人学
振动
可穿戴计算机
结构健康监测
人工智能
计算机科学
机器人
机械工程
声学
复合材料
电气工程
工程类
物理
嵌入式系统
作者
Dong Soo Lee,Jun Chang Yang,Joo Yong Sim,Heemin Kang,Hyung‐Ryong Kim,Steve Park
标识
DOI:10.1021/acsami.2c07795
摘要
A soft bending sensor based on the inverse pyramid structure is demonstrated, revealing that it can effectively suppress microcrack formation in designated regions, thus allowing the cracks to open gradually with bending in a controlled manner. Such a feature enabled the bending sensor to simultaneously have a wide dynamic range of bending strain (0.025-5.4%), high gauge factor (∼74), and high linearity (R2 ∼ 0.99). Furthermore, the bending sensor can capture repeated instantaneous changes in strain and various types of vibrations, owing to its fast response time. Moreover, the bending direction can be differentiated with a single layer of the sensor, and using an array of sensors integrated on a glove, object recognition was demonstrated via machine learning. Finally, a self-monitoring proprioceptive ionic electroactive polymer (IEAP) actuator capable of operating in liquid was demonstrated. Such features of our bending sensor will enable a simple and effective way of detecting sophisticated motion, thus potentially advancing wearable healthcare monitoring electronics and enabling proprioceptive soft robotics.
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