软机器人
变形
执行机构
稳健性(进化)
机器人
机器人学
计算机科学
夹持器
人工智能
气动执行机构
灵活性(工程)
可扩展性
软质材料
概念证明
杠杆(统计)
控制工程
机械工程
工程类
纳米技术
材料科学
操作系统
统计
基因
化学
数据库
生物化学
数学
作者
Trevor Jones,Etienne Jambon-Puillet,Joël Marthelot,Pierre-Thomas Brun
出处
期刊:Nature
[Springer Nature]
日期:2021-11-10
卷期号:599 (7884): 229-233
被引量:109
标识
DOI:10.1038/s41586-021-04029-6
摘要
Inspired by living organisms, soft robots are developed from intrinsically compliant materials, enabling continuous motions that mimic animal and vegetal movement1. In soft robots, the canonical hinges and bolts are replaced by elastomers assembled into actuators programmed to change shape following the application of stimuli, for example pneumatic inflation2-5. The morphing information is typically directly embedded within the shape of these actuators, whose assembly is facilitated by recent advances in rapid prototyping techniques6-11. Yet, these manufacturing processes have limitations in scalability, design flexibility and robustness. Here we demonstrate a new all-in-one methodology for the fabrication and the programming of soft machines. Instead of relying on the assembly of individual parts, our approach harnesses interfacial flows in elastomers that progressively cure to robustly produce monolithic pneumatic actuators whose shape can easily be tailored to suit applications ranging from artificial muscles to grippers. We rationalize the fluid mechanics at play in the assembly of our actuators and model their subsequent morphing. We leverage this quantitative knowledge to program these soft machines and produce complex functionalities, for example sequential motion obtained from a monotonic stimulus. We expect that the flexibility, robustness and predictive nature of our methodology will accelerate the proliferation of soft robotics by enabling the assembly of complex actuators, for example long, tortuous or vascular structures, thereby paving the way towards new functionalities stemming from geometric and material nonlinearities.
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