摩擦电效应
水下
材料科学
可穿戴计算机
环境友好型
软机器人
可穿戴技术
自愈水凝胶
应变计
纳米技术
复合材料
机器人
计算机科学
嵌入式系统
人工智能
地质学
海洋学
高分子化学
生物
生态学
作者
Juntian Qu,Qiangjing Yuan,Zhenkun Li,Ziqiang Wang,Feng Xu,Qigao Fan,Min Zhang,Xiang Qian,Xueqian Wang,Xiaohao Wang,Minyi Xu
出处
期刊:Nano Energy
[Elsevier]
日期:2023-03-25
卷期号:111: 108387-108387
被引量:122
标识
DOI:10.1016/j.nanoen.2023.108387
摘要
Hydrogel-based wearable devices and soft robotics have become a research hotspot. However, due to hydrogels' poor anti-dehydration and susceptibility to breakage, issues of recycling and waste stream contamination risks have severely limited large-scale applications. Moreover, the practical monitoring of robotic grasping is rather limited due to the complex underwater environment. In this work, an environment-friendly high-performance ionic hydrogel with fracture toughness (146.5 kJ/m3) capable of strain and triboelectric sensing is developed. As a strain sensor, it owns good sensitivity (gauge factor: 4.30), a quick response time (70 ms), outstanding stability (∼ 1000 cycles), low-temperature resistance, and well reproducibility (within one month). The hydrogel was also employed in the development of a flexible triboelectric sensor (200 % strain), which could respond sensitively to abundant types of materials (including water droplets). Due to these advantageous properties, the developed strain-triboelectric sensors can detect real-time human motion and grasping states of the soft gripper simultaneously. Thanks to the good degradability (∼ 12 h), it may well address potential problems of high cost and risks during the underwater recycling process. To summarize, the developed all-in-one strain-triboelectric sensors have demonstrated great potentials in enhancing the actively perceiving capabilities during underwater soft robotic grasping.
科研通智能强力驱动
Strongly Powered by AbleSci AI