肌肉驱动软机器人的建模、分析和计算设计。

IF 6.4 2区 计算机科学 Q1 ROBOTICS
Soft Robotics Pub Date : 2023-08-01 Epub Date: 2023-03-10 DOI:10.1089/soro.2022.0122
Manjia Su, Yihong Zhang, Hongkai Chen, Yisheng Guan, Chaoqun Xiang
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引用次数: 0

摘要

肌肉驱动是柔性机器人的一种关键驱动模式,在大多数动物的运动中起着关键作用。尽管软机器人的系统开发已经得到了广泛的研究,但软体的通用运动学建模和用于肌肉驱动软机器人的设计方法还不够完善。本文以同质MDSR为重点,提出了一个运动学建模和计算设计的框架。基于连续介质力学理论,首次用变形梯度张量和能量密度函数描述了软体的力学特性。然后,根据分段线性假设,使用三角形网格工具描述离散变形。通过超弹性材料的本构模型建立了由外部驱动点或内部肌肉单元引起的MDSR的变形模型。然后,基于运动学模型和变形分析,讨论了MDSR的计算设计。提出了从目标变形中推断设计参数并确定最佳肌肉的算法。开发了几个MDSR,并进行了实验来验证所提出的模型和设计算法的有效性。使用定量指标对计算结果和实验结果进行了比较和评价。所提出的MDSRs的变形建模和计算设计框架可以促进具有复杂变形的软机器人的设计,例如人形脸。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling, Analysis, and Computational Design of Muscle-driven Soft Robots.

Muscle driving is a critical actuation mode of soft or flexible robots and plays a key role in the motion of most animals. Although the system development of soft robots has been extensively investigated, the general kinematic modeling of soft bodies and the design methods used for muscle-driven soft robots (MDSRs) are inadequate. With a focus on homogeneous MDSRs, this article presents a framework for kinematic modeling and computational design. Based on continuum mechanics theory, the mechanical characteristics of soft bodies were first described using a deformation gradient tensor and energy density function. The discretized deformation was then depicted using a triangular meshing tool according to the piecewise linear hypothesis. Deformation models of MDSRs caused by external driving points or internal muscle units were established by the constitutive modeling of hyperelastic materials. The computational design of the MDSR was then addressed based on kinematic models and deformation analysis. Algorithms were proposed to infer the design parameters from the target deformation and to determine the optimal muscles. Several MDSRs were developed, and experiments were conducted to verify the effectiveness of the presented models and design algorithms. The computational and experimental results were compared and evaluated using a quantitative index. The presented framework of deformation modeling and computational design of MDSRs can facilitate the design of soft robots with complex deformations, such as humanoid faces.

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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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