Su Manjia, Zhang Yihong, Chen Hongkai, Guan Yisheng, Xiang Chaoqun
Biomimetic and Intelligent Robotics Lab (BIRL), Guangdong University of Technology, Guangzhou, China.
Soft Robot. 2023 Aug;10(4):808-824. doi: 10.1089/soro.2022.0122. Epub 2023 Mar 10.
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.
肌肉驱动是软体或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。尽管对软体机器人的系统开发已经进行了广泛研究,但软体的一般运动学建模以及用于肌肉驱动软体机器人(MDSR)的设计方法仍不完善。本文聚焦于均质MDSR,提出了一种运动学建模和计算设计框架。基于连续介质力学理论,首先使用变形梯度张量和能量密度函数描述软体的力学特性。然后根据分段线性假设,使用三角网格工具描述离散变形。通过超弹性材料的本构建模建立了由外部驱动点或内部肌肉单元引起的MDSR变形模型。接着基于运动学模型和变形分析对MDSR进行计算设计。提出了从目标变形推断设计参数并确定最佳肌肉的算法。开发了几种MDSR,并进行实验以验证所提出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比较和评估。所提出的MDSR变形建模和计算设计框架有助于设计具有复杂变形的软体机器人,如类人面部。