Tuning Stiffness with Granular Chain Structures for Versatile Soft Robots.

IF 6.4 2区 计算机科学 Q1 ROBOTICS
Si-Qi An, Wen-Hao Li, Ji-Hui Li, Hai-Lin Zou, Zi-Chen Deng
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引用次数: 1

Abstract

Stiffness variation can greatly enhance soft robots' load capacity and compliance. Jamming methods are widely used where stiffness variation is realized by jamming of particles, layers, or fibers. It is still challenging to make the variable stiffness components lightweight and adaptive. Besides, the existing jamming mechanisms generally encounter deformation-induced softening, restricting their applications in cases where large deformation and high stiffness are both needed. Herein, a multifunctional granular chain assemblage is proposed, where particles are formed into chains with threads. The chain jamming can be classified into two types. Granular chain jamming (GCJ) utilizes typical particles such as spherical particles, which can achieve both high stiffness and great adaptability while keeping jamming components relatively lightweight, while by using cubic particles, a peculiar deformation-induced stiffening mechanism is found, which is termed as stretch-enhanced particle jamming (SPJ). The versatility of GCJ and SPJ mechanisms in soft robots is demonstrated through soft grippers, soft crawlers, or soft bending actuators, where great passive adaptability, high load capacity, joint-like bending, friction enhancement, or postponing buckling can be realized, respectively. This work thus offers a facile and low-cost strategy to fabricate versatile soft robots.

基于颗粒链结构的多用途软机器人刚度调整。
刚度变化可以极大地提高柔性机器人的承载能力和柔度。在通过颗粒、层或纤维的干扰来实现刚度变化的情况下,干扰方法被广泛使用。变刚度部件的轻量化和自适应仍然是一个挑战。此外,现有的干扰机制普遍存在变形软化问题,限制了其在需要大变形和高刚度的情况下的应用。本文提出了一种多功能颗粒链组合,其中颗粒形成带有螺纹的链。链式干扰可分为两种类型。颗粒链干扰(GCJ)采用球形颗粒等典型颗粒,在保持干扰部件相对轻量化的同时具有较高的刚度和适应性,而采用立方颗粒时,发现了一种特殊的变形致硬化机制,称为拉伸增强颗粒干扰(SPJ)。GCJ和SPJ机构在软机器人中的通用性通过软抓取器、软履带或软弯曲致动器来体现,它们分别可以实现高被动适应性、高负载能力、类关节弯曲、增强摩擦或延缓屈曲。因此,这项工作为制造多功能软机器人提供了一种简单而低成本的策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Soft Robotics
Soft Robotics ROBOTICS-
CiteScore
15.50
自引率
5.10%
发文量
128
期刊介绍: Soft Robotics (SoRo) stands as a premier robotics journal, showcasing top-tier, peer-reviewed research on the forefront of soft and deformable robotics. Encompassing flexible electronics, materials science, computer science, and biomechanics, it pioneers breakthroughs in robotic technology capable of safe interaction with living systems and navigating complex environments, natural or human-made. With a multidisciplinary approach, SoRo integrates advancements in biomedical engineering, biomechanics, mathematical modeling, biopolymer chemistry, computer science, and tissue engineering, offering comprehensive insights into constructing adaptable devices that can undergo significant changes in shape and size. This transformative technology finds critical applications in surgery, assistive healthcare devices, emergency search and rescue, space instrument repair, mine detection, and beyond.
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