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Modeling, Simulation and Experimental Validation of a Tendon-driven Soft-arm Robot Configuration - A Continuum Mechanics Method

机译:肌腱驱动软臂机器人配置的建模,仿真和实验验证 - 一种连续性力学方法

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This paper presents the mathematical derivation and experimental validation of a computational model, which accurately predicts static, large-strain deformations of tendon driven non-slender soft-arm manipulators subjected to gravity. The large strain behaviors are captured by employing the Green-Lagrange strain and by deriving analytical expressions for the variation of the equivalent Young modulus of the structure due to the large strains. No simplifying assumptions are made regarding the curvature of the structure, the stretching or the compression. Furthermore the paper proposes an iterative method for numerically solving the resultant non-linear system of coupled differential equations and demonstrates a number of application scenarios. The model is experimentally validated using a set-up comprising one segment of tendon driven soft-arm, which integrates stretchable and compressible hyperelastic (rubber-type) materials into its non-homogeneous back bone structure.
机译:本文提出了一种计算模型的数学推导和实验验证,其精确地预测肌腱驱动的非细长软臂操纵器的静态,大应变变形。通过使用绿色拉格朗日菌株和通过导出由于大菌株而导出的分析表达来捕获大的应变行为。没有关于结构的曲率,拉伸或压缩的简化假设。此外,本文提出了一种迭代方法,用于数值求解耦合微分方程的所得到的非线性系统,并演示了许多应用场景。使用包括一个肌腱驱动的软臂的一段的设置进行实验验证,该软臂将可伸缩和可压缩的超弹性(橡胶型)材料与其非均匀的背骨结构集成。

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