Bioinspired Multifunctional Self-Sensing Actuated Gradient Hydrogel for Soft-Hard Robot Remote Interaction

作     者：He Liu Haoxiang Chu Hailiang Yuan Deliang Li Weisi Deng Zhiwei Fu Ruonan Liu Yiying Liu Yixuan Han Yanpeng Wang Yue Zhao Xiaoyu Cui Ye Tian He Liu;Haoxiang Chu;Hailiang Yuan;Deliang Li;Weisi Deng;Zhiwei Fu;Ruonan Liu;Yiying Liu;Yixuan Han;Yanpeng Wang;Yue Zhao;Xiaoyu Cui;Ye Tian

作者机构：College of Medicine and Biological Information EngineeringNortheastern UniversityShenyang 110169People’s Republic of China Foshan Graduate School of InnovationNortheastern UniversityFoshan 528300People’s Republic of China 

出 版 物：《Nano-Micro Letters》 (纳微快报（英文版）)

年 卷 期：2024年第16卷第4期

页      面：139-152页

核心收录：

学科分类：081702[工学-化学工艺] 08[工学] 0817[工学-化学工程与技术] 080202[工学-机械电子工程] 0804[工学-仪器科学与技术] 0805[工学-材料科学与工程（可授工学、理学学位）] 0802[工学-机械工程] 0702[理学-物理学] 

基　　金：The financial support from the National Natural Science Foundation of China (32201179) Guangdong Basic and Applied Basic Research Foundation (2020A1515110126 and 2021A1515010130) the Fundamental Research Funds for the Central Universities (N2319005) Ningbo Science and Technology Major Project (2021Z027) is gratefully acknowledged 

主　　题：Self-sensing Gradient structure Bioinspired actuator Hydrogel sensor Remote interaction 

摘      要：The development of bioinspired gradient hydrogels with self-sensing actuated capabilities for remote interaction with soft-hard robots remains a challenging endeavor. Here, we propose a novel multifunctional self-sensing actuated gradient hydrogel that combines ultrafast actuation and high sensitivity for remote interaction with robotic hand. The gradient network structure, achieved through a wettability difference method involving the rapid precipitation of MoO_(2) nanosheets, introduces hydrophilic disparities between two sides within hydrogel. This distinctive approach bestows the hydrogel with ultrafast thermo-responsive actuation(21° s^(-1)) and enhanced photothermal efficiency(increase by 3.7 ℃ s^(-1) under 808 nm near-infrared). Moreover, the local cross-linking of sodium alginate with Ca^(2+) endows the hydrogel with programmable deformability and information display capabilities. Additionally, the hydrogel exhibits high sensitivity(gauge factor 3.94 within a wide strain range of 600%), fast response times(140 ms) and good cycling stability. Leveraging these exceptional properties, we incorporate the hydrogel into various soft actuators, including soft gripper, artificial iris, and bioinspired jellyfish, as well as wearable electronics capable of precise human motion and physiological signal detection. Furthermore, through the synergistic combination of remarkable actuation and sensitivity, we realize a self-sensing touch bioinspired tongue. Notably, by employing quantitative analysis of actuation-sensing, we realize remote interaction between soft-hard robot via the Internet of Things. The multifunctional self-sensing actuated gradient hydrogel presented in this study provides a new insight for advanced somatosensory materials, self-feedback intelligent soft robots and human–machine interactions.