材料科学
机器人
执行机构
石墨烯
机械能
智能材料
纳米技术
机械工程
联轴节(管道)
计算机科学
人工智能
工程类
复合材料
物理
量子力学
功率(物理)
作者
Bing Han,Yuanyuan Gao,Yong‐Lai Zhang,Yu‐Qing Liu,Zhuo‐Chen Ma,Qi Guo,Lin Zhu,Qi‐Dai Chen,Hong‐Bo Sun
出处
期刊:Nano Energy
[Elsevier]
日期:2020-02-06
卷期号:71: 104578-104578
被引量:58
标识
DOI:10.1016/j.nanoen.2020.104578
摘要
Soft robots enabling controllable movement in a predicable manner have attracted enormous research interests. However, current researches on soft robots are mainly limited to single actuation mode, and thus complex and multidimensional motility is significantly limited. Here, we propose and demonstrate for the first time a multi-field-coupling energy conversion strategy for flexible manipulation of soft robots, by which 3D-positioning, rotating, levitating, capturing and releasing of a small object by a smart claw are synergistically realized via magnetic, ultrasonic, humidity and light fields. The essence of the strategy is coupling design of the robot compositional materials that can convert energy from different fields into efficient mechanical works. As a typical example, we developed a magnetic-field-assisted gradient assembly method for preparing asymmetric Fe3O4 nanoparticles (NPs) and graphene oxide (GO) composite film. The asymmetric distribution of Fe3O4 NPs in GO leads to an reasonable mechanical stiffness and alters the water adsorption capability of the two sides, which not only imparts multi-responsiveness but also suitably addresses the problem of interlayer detachment in the case of bimorph actuators. The robust soft robots demonstrate good durability, revealing great potential for developing advanced robotic systems that permit direct conversion of multi-field energies to mechanical works.
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