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受生物启发的光驱动液晶凝胶水下运动。

Bioinspired underwater locomotion of light-driven liquid crystal gels.

机构信息

Physical Intelligence Department, Max Planck Institute for Intelligent Systems, 70569 Stuttgart, Germany.

Smart Photonic Materials, Faculty of Engineering and Natural Sciences, Tampere University, FI-33101 Tampere, Finland.

出版信息

Proc Natl Acad Sci U S A. 2020 Mar 10;117(10):5125-5133. doi: 10.1073/pnas.1917952117. Epub 2020 Feb 24.

Abstract

Soft-bodied aquatic invertebrates, such as sea slugs and snails, are capable of diverse locomotion modes under water. Recapitulation of such multimodal aquatic locomotion in small-scale soft robots is challenging, due to difficulties in precise spatiotemporal control of deformations and inefficient underwater actuation of existing stimuli-responsive materials. Solving this challenge and devising efficient untethered manipulation of soft stimuli-responsive materials in the aquatic environment would significantly broaden their application potential in biomedical devices. We mimic locomotion modes common to sea invertebrates using monolithic liquid crystal gels (LCGs) with inherent light responsiveness and molecular anisotropy. We elicit diverse underwater locomotion modes, such as crawling, walking, jumping, and swimming, by local deformations induced by selective spatiotemporal light illumination. Our results underpin the pivotal role of the physicomechanical properties of LCGs in the realization of diverse modes of light-driven robotic underwater locomotion. We envisage that our results will introduce a toolbox for designing efficient untethered soft robots for fluidic environments.

摘要

软躯体水生无脊椎动物,如海参和蜗牛,能够在水下进行多种运动模式。由于难以精确控制变形的时空和现有响应刺激材料在水下的低效驱动,因此在小型软机器人中再现这种多模态水生运动具有挑战性。解决这一挑战并设计高效的、无束缚的软刺激响应材料在水环境中的操控,将极大地拓宽它们在生物医学设备中的应用潜力。我们使用具有固有光响应性和分子各向异性的整体液晶凝胶 (LCG) 来模拟海洋无脊椎动物的常见运动模式。我们通过选择性时空光照明引起的局部变形来引发多种水下运动模式,如爬行、行走、跳跃和游泳。我们的研究结果为 LCG 的物理力学特性在实现多种光驱动机器人水下运动模式中的关键作用提供了依据。我们设想,我们的研究结果将为设计用于流体环境的高效、无束缚的软机器人引入一个工具包。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9322/7071923/b0ef15c50178/pnas.1917952117fig01.jpg

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