Encoding Desired Deformation Profiles in Endoscope-Like Soft Robots

IF 3.4 Q2 ENGINEERING, BIOMEDICAL
Daniel S. Esser;Margaret F. Rox;Robert P. Naftel;D. Caleb Rucker;Eric J. Barth;Alan Kuntz;Robert J. Webster
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引用次数: 0

Abstract

Prior models of continuously flexible robots typically assume uniform stiffness, and in this paper we relax this assumption. Geometrically varying stiffness profiles provide additional design freedom to influence the motions and workspaces of continuum robots. These results are timely, because with recent rapid advancements in multimaterial additive manufacturing techniques, it is now straightforward to create more complex stiffness profiles in robots. The key insight of this paper is to project forces and moments applied to the robot onto its center of stiffness (i.e., the Young’s modulus-weighted center of each cross section). We show how the center of stiffness can be thought of as analogous to a “precurved backbone” in a robot with uniform stiffness. This analogy enables a large body of prior work in Cosserat Rod modeling of such robots to be applied directly to those with stiffness variations. We experimentally validate this approach using multimaterial, soft, tendon-actuated robots. Lastly, to illustrate how these results can be used in practice, we investigate how stiffness variation can improve performance in a neurosurgical task.
在类内窥镜软机器人中编码所需的变形轮廓
先前的连续柔性机器人模型通常假设刚度均匀,本文放宽了这一假设。几何变化的刚度轮廓为影响连续体机器人的运动和工作空间提供了额外的设计自由度。这些结果是及时的,因为随着最近多材料增材制造技术的快速发展,现在可以直接在机器人中创建更复杂的刚度曲线。本文的关键观点是将施加在机器人上的力和力矩投射到其刚度中心(即每个截面的杨氏模量加权中心)。我们展示了如何将刚度中心视为类似于具有均匀刚度的机器人中的“预弯曲骨干”。这种类比使得先前在Cosserat杆模型中对此类机器人进行的大量工作可以直接应用于具有刚度变化的机器人。我们用多材料的、柔软的、肌腱驱动的机器人实验验证了这种方法。最后,为了说明这些结果如何在实践中使用,我们研究了刚度变化如何提高神经外科任务的表现。
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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CiteScore
6.80
自引率
0.00%
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