用于机器人辅助膜剥离的3-DOF力传感微钳:内在驱动力建模。

Anzhu Gao, Berk Gonenc, Jiangzhen Guo, Hao Liu, Peter Gehlbach, Iulian Iordachita
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引用次数: 14

摘要

在视网膜显微外科手术中,膜剥离是一个具有挑战性的过程,需要使用微型镊子仔细操作脆弱的组织,并施加非常细微的力,而这些力对外科医生来说几乎是难以察觉的。在此之前,我们开发了一种带有三个集成光纤布拉格光栅(FBG)传感器的微型镊子,用于检测仪器尖端的侧向力。然而,重要的是,这种结构不足以感知沿着钳轴的组织拉力,这在膜剥离过程中可能是重要的。由于打开/关闭钳口时产生的运动和内在力,我们以前为镐工具开发的3-DOF力传感解决方案不适用于镊子工具。本文提出了一种新的设计方案,即在钳爪上附加另一个光纤光栅来测量轴向载荷。这不仅涉及我们需要测量的外部工具与组织的相互作用,还涉及由于颌骨的弹性变形和摩擦而产生的内在驱动力的不利影响。在本研究中,我们通过实验和有限元分析,建立了内在驱动力模型。我们研究了摩擦系数和材料类型(不锈钢、钛、镍钛诺)对该模型的影响。然后,利用获得的模型从原始传感器测量中分离出轴向工具到组织的力。初步实验和仿真结果表明,建立的基于驱动位移的线性模型能够准确预测刀尖处的轴向力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

3-DOF Force-Sensing Micro-Forceps for Robot-Assisted Membrane Peeling: Intrinsic Actuation Force Modeling.

3-DOF Force-Sensing Micro-Forceps for Robot-Assisted Membrane Peeling: Intrinsic Actuation Force Modeling.

3-DOF Force-Sensing Micro-Forceps for Robot-Assisted Membrane Peeling: Intrinsic Actuation Force Modeling.

3-DOF Force-Sensing Micro-Forceps for Robot-Assisted Membrane Peeling: Intrinsic Actuation Force Modeling.

Membrane peeling is a challenging procedure in retinal microsurgery, requiring careful manipulation of delicate tissues by using a micro-forceps and exerting very fine forces that are mostly imperceptible to the surgeon. Previously, we developed a micro-forceps with three integrated fiber Bragg grating (FBG) sensors to sense the lateral forces at the instrument's tip. However, importantly this architecture was insufficient to sense the tissue pulling forces along the forceps axis, which may be significant during membrane peeling. Our previous 3-DOF force sensing solutions developed for pick tools are not appropriate for forceps tools due to the motion and intrinsic forces that develop while opening/closing the forceps jaws. This paper presents a new design that adds another FBG attached to the forceps jaws to measure the axial loads. This involves not only the external tool-to-tissue interactions that we need to measure, but also the adverse effect of intrinsic actuation forces that arise due to the elastic deformation of jaws and friction. In this study, through experiments and finite element analyses, we model the intrinsic actuation force. We investigate the effect of the coefficient of friction and material type (stainless steel, titanium, nitinol) on this model. Then, the obtained model is used to separate the axial tool-to-tissue forces from the raw sensor measurements. Preliminary experiments and simulation results indicate that the developed linear model based on the actuation displacement is feasible to accurately predict the axial forces at the tool tip.

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