X Yamile Sandoval-Castro, J German Cortes-Gonzalez, Maximiano F Ruiz-Torres, Eduardo Castillo-Castaneda, Med Amine Laribi
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引用次数: 0
Abstract
This article presents a bioinspired pneumatic soft actuator designed to mimic the flexo-extension movement of the human finger, with a particular focus on stiffness modulation through granular jamming. Three-chamber geometries - honeycomb, rectangular, and half-round - were evaluated to optimize curvature performance, utilizing Mold Star 15 Slow elastomer for actuator fabrication. Granular jamming, both passive and active, was implemented within the inextensible layer using chia and quinoa grains to enhance stiffness modulation. Experimental results revealed that the honeycomb geometry most closely aligned with the natural index finger trajectory. Stiffness evaluations demonstrated a range of 0-0.47 N/mm/° for quinoa and 0-0.9 N/mm/° for chia. The actuator's force output increased by 16% for quinoa and 71% for chia compared to the nonjammed configuration. This enhanced performance is particularly beneficial for applications such as hand rehabilitation, where adaptive stiffness and force modulation are critical. Granular jamming, especially with active chia, provided superior adaptability for tasks requiring variable stiffness and resistance, making it a promising candidate for wearable robotic applications in rehabilitation.
本文介绍了一种仿生气动软致动器,旨在模仿人类手指的屈伸运动,特别关注通过颗粒干扰进行刚度调制。利用Mold Star 15慢弹性体制造致动器,对蜂窝、矩形和半圆形三腔几何形状进行了评估,以优化曲率性能。在不可扩展层内,利用奇亚籽和藜麦颗粒实现无源和主动颗粒干扰,以增强刚度调制。实验结果表明,蜂窝几何形状与自然食指轨迹最接近。硬度评估表明,藜麦的硬度范围为0-0.47 N/mm/°,中国小麦的硬度范围为0-0.9 N/mm/°。与非堵塞配置相比,执行器的力输出增加了藜麦的16%和中国的71%。这种增强的性能特别有利于手部康复等应用,其中自适应刚度和力调制是至关重要的。颗粒干扰,特别是主动chia,为需要可变刚度和阻力的任务提供了优越的适应性,使其成为康复中可穿戴机器人应用的有希望的候选者。