A Passively Conforming Soft Robotic Gripper with Three-Dimensional Negative Bending Stiffness Fingers.

IF 6.4 2区 计算机科学 Q1 ROBOTICS
Ashley H Chu, Tianyu Cheng, Arnold Muralt, Cagdas D Onal
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引用次数: 1

Abstract

Robot grippers that lack physical compliance have a difficult time dealing with uncertainty, such as fragile objects that may not have well-defined shapes. Existing soft robotic grippers require a large empty workspace for their actuated fingers to curl around the objects of interest, limiting their performance in clutter. This article presents a three-dimensional structure that exhibits negative stiffness in every bending direction used as fingers in a class of soft robotic grippers. Our approach exploits a compliant mechanism in a conical shape such that a transverse external contact force causes the fingers to bend toward the contact, enabling passive conformation for an adaptive grasp, even in clutter. We show analytically and experimentally that the proposed fingers have a negative bending response and that they conform to objects of various diameters. We demonstrate a soft robotic gripper with three self-conforming fingers performing the following: (1) fingertip grasping, (2) power grasping, and (3) semipassive grasping in clutter. Grasping experiments focus on picking fruits, which exemplify delicate objects with unmodeled shapes with significant variation. The experimental results reveal the ability of the self-conforming structure to smoothly envelope a broad range of objects and demonstrate a 100% grasp success rate in the experiments performed. The proposed passively conforming fingers enable picking of complex and unknown geometries without disturbing nearby objects in clutter and without the need for complex grasping algorithms. The proposed structures can be tailored to deform in desired ways, enabling a robust strategy for the engineering of physical compliance for adaptive soft structures.

具有三维负弯曲刚度手指的被动柔性机械手。
缺乏物理顺应性的机器人抓手很难处理不确定性,例如可能没有明确形状的易碎物体。现有的软体机器人抓取手需要一个大的空工作区,以便它们的受驱动手指在感兴趣的物体上卷曲,这限制了它们在杂乱环境中的表现。本文提出了一种三维结构,在每个弯曲方向上都表现出负刚度,用作一类软机器人抓手的手指。我们的方法利用了圆锥形的柔顺机制,使得横向外部接触力使手指向接触方向弯曲,即使在杂乱的情况下也能实现自适应抓取的被动构象。我们通过分析和实验表明,所提出的手指具有负弯曲响应,并且它们符合各种直径的物体。我们演示了一种具有三个自协调手指的柔性机器人抓取器:(1)指尖抓取,(2)动力抓取,(3)在杂乱中半被动抓取。抓握实验主要集中在摘水果,这是一个具有未建模形状和显著变化的精致物体的例子。实验结果表明,该自适应结构能够平滑地包络各种物体,并在实验中证明了100%的抓取成功率。所提出的被动顺应手指能够在不干扰周围物体的情况下拾取复杂和未知的几何形状,也不需要复杂的抓取算法。所提出的结构可以以所需的方式进行定制变形,从而为自适应软结构的物理顺应性工程提供了强大的策略。
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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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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