A Stiffness-controlled Robotic Palm based on a Granular Jamming Mechanism

Jeongwon Lee, W. Han, Eunchan Kim, Ingu Choi, Sungwook Yang
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引用次数: 2

Abstract

This paper presents a new type of a robotic palm based on a granular jamming mechanism to improve grasping performance. The granular jamming principle is adopted to alter the shape and stiffness of the robotic palm by controlling a transition between a solid-state and a fluid-state of a granular material used. The robotic palm incorporates a specifically designed granular chamber that is optimized for dealing with large volume change. The control system is also developed for the proposed granular jamming mechanism to be electrically operated without any pneumatic components. In addition, the stiffness of the palm can be precisely regulated by the feedback control of the negative pressure applied to the granular chamber. We evaluate the shape-adaptability of the robotic palm for various objects. As a result, the robotic palm could accommodate the various shapes of the testing objects by conformably altering its shape during contact. Moreover, the stiffness-controllability is also investigated for the three different sizes of granular materials. The stiffness increases up to 30 fold under fully jammed state for the small size of the grain. Finally, we evaluate the grasping performance of the robotic palm with a commercially available robot hand. 1.7 times higher grasping force was attained with the conformably deformed and stiffened surface, compared to the flat skin of the rigid palm. Therefore, the stiffness-controlled robotic palm can improve grasping performance with the enhanced shape-adaptability and stiffness-controllability.
基于颗粒干扰机制的刚度控制机器人手掌
为了提高抓取性能,提出了一种基于颗粒干扰机制的新型机器人手掌。采用颗粒干扰原理,通过控制所使用的颗粒材料在固态和液态之间的过渡来改变机器人手掌的形状和刚度。机器人手掌包含一个专门设计的颗粒腔,该腔针对处理大体积变化进行了优化。该控制系统还为所提出的颗粒干扰机构开发了不需要任何气动元件的电动操作系统。此外,手掌的刚度可以通过施加于颗粒室的负压的反馈控制来精确调节。我们评估了机器人手掌对各种物体的形状适应性。因此,机器人手掌可以通过在接触过程中改变其形状来适应测试对象的各种形状。此外,还研究了三种不同粒径颗粒材料的刚度可控性。由于晶粒尺寸小,在完全堵塞状态下,刚度增加了30倍。最后,我们用市售的机器人手评估机器手掌的抓取性能。与刚性手掌的扁平皮肤相比,变形和硬化表面的抓握力提高了1.7倍。因此,刚度控制机器人手掌可以通过增强形状适应性和刚度可控性来提高抓取性能。
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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