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Sponge-like, semi-interpenetrating self-sensory hydrogel for smart photothermal-responsive soft actuator with biomimetic self-diagnostic intelligence

执行机构 材料科学 软机器人 自愈水凝胶 过程(计算) 人工肌肉 智能材料 计算机科学 纳米技术 神经形态工程学 灵活性(工程) 光热效应 人工智能 光热治疗 人工神经网络 高分子化学 操作系统 统计 数学
作者
Xingchen Cui,Zhezhi Liu,Bing Zhang,Xiaoduo Tang,Fuqiang Fan,Yu Fu,Junhu Zhang,Tieqiang Wang,Fanbao Meng
出处
期刊:Chemical Engineering Journal [Elsevier]
卷期号:467: 143515-143515 被引量:25
标识
DOI:10.1016/j.cej.2023.143515
摘要

Actuators based on hydrogels are good candidates for biomimetic soft robots due to their excellent mechanical properties and flexibility. Despite great efforts in hydrogel-based actuators, their actuation process still differs from the “recognition-judgment-execution” process that conscious intelligent beings go through owing to the lack of perceptive capacity. Herein, to imitate the intelligent actuation process of conscious organisms, a fast photo-thermal responsive and self-sensory soft actuator is proposed based on sponge-like hydrogel with semi-interpenetrating (semi-IPN) polymer network of thermosensitive poly (N-isopropylacrylamide) (PNIPAM) and electronically conductive polyaniline (PANI). The proposed actuator exhibits excellent photo-thermal responsiveness enabling remotely triggered actuation controlled by near infrared light (NIR), covering all azimuths with ultrafast response rate (within 2 s) and recover rate (within 1 s). Meanwhile, the conformational transition of PNIPAM networks during the course of actuation also lead to accompanying migration of the interpenetrated PANI chains and significant variation of local conductivity (>15%), endowing the actuator with self-sensing capacity to monitor its deformations. Eventually, a smart self-adaptive actuator is designed inspired by neuromuscular in intelligent organisms, which can actively perceive external environmental stimuli and consciously regulate its own shape transformation by monitoring and analyzing electrical signal. This sensory actuating hydrogel can provide insights into the development of artificial intelligent soft robotics with higher levels of autonomy and complexity.
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