Li Yi, Wang Zizheng, Lu Yongyu, Li Huijie, Weng Zhengyan, Sun Jiahan, Zhang Yi, Zhang Teng, Wang Xueju Sophie
Department of Materials Science and Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
Department of Biomedical Engineering, University of Connecticut, Storrs, Connecticut 06269, United States.
ACS Appl Mater Interfaces. 2025 Feb 12;17(6):9992-10003. doi: 10.1021/acsami.5c00638. Epub 2025 Jan 30.
Emerging soft robots based on liquid crystal elastomers (LCEs) exhibit remarkable capabilities for large reversible shape morphing, enabling them to adapt to complex environments and perform diverse tasks such as locomotion and camouflage. Despite extensive studies, current methods for locally controlled actuation of LCE-based soft robots often involve intricate structural design, complex programming of LCEs, incorporation of multiple materials, or complex actuation methods. Here, we present a simple and efficient approach to achieve multiple deformation modes within a simply programmed LCE structure by harnessing Joule heating-induced thermal gradients across the LCE volume. Oxidized liquid metal (LM) thin films, which exhibit increased resistance, enhanced viscosity, high thermal conductivity, and large deformability, are employed for Joule heating in this study. Using an LCE strip programmed via uniaxial stretching as an example, we perform systematic studies on the effect of essential parameters, including the actuation voltage, LCE dimensions, and the LM-to-LCE thickness ratio, on the deformation behaviors of LCEs induced by three-dimensional thermal gradients across the LCE volume. In addition, concurrently actuating two adjacent surfaces of the LCE strip yields previously inaccessible coupled bending behaviors. Finally, we demonstrate a crawling robot constructed from LM-coated LCE strips with adjustable bending capabilities, which enable multimode locomotion, including forward movement and turns, enhancing biomimetic functionality akin to leg movements observed in living organisms like reptiles. The reported strategy, which is both straightforward and versatile, promises scalability and holds potential for various applications in multifunctional intelligent systems including soft robotics and biomedical devices.
基于液晶弹性体(LCE)的新型软机器人展现出了卓越的大尺寸可逆形状变形能力,使其能够适应复杂环境并执行多种任务,如移动和伪装。尽管已有广泛研究,但目前用于基于LCE的软机器人局部控制驱动的方法通常涉及复杂的结构设计、LCE的复杂编程、多种材料的结合或复杂的驱动方法。在此,我们提出一种简单高效的方法,通过利用焦耳热在LCE体积内产生的热梯度,在简单编程的LCE结构中实现多种变形模式。本研究中使用电阻增加、粘度增强、热导率高且可变形性大的氧化液态金属(LM)薄膜进行焦耳热加热。以通过单轴拉伸编程的LCE条带为例,我们系统研究了包括驱动电压、LCE尺寸以及LM与LCE厚度比等关键参数对LCE体积内三维热梯度引起的LCE变形行为的影响。此外,同时驱动LCE条带的两个相邻表面会产生此前无法实现的耦合弯曲行为。最后,我们展示了一种由涂覆LM的LCE条带构建的具有可调节弯曲能力的爬行机器人,其能够实现多模式移动,包括向前移动和转弯,增强了类似于在爬行动物等生物体中观察到的腿部运动的仿生功能。所报道的策略既简单又通用,有望实现可扩展性,并在包括软机器人和生物医学设备在内的多功能智能系统中有各种应用潜力。