基于肌腱强化的离散关节手术探针静力学建模

Yilin Cai, A. Orekhov, H. Choset
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引用次数: 0

摘要

微创外科(MIS)机器人可以减少术后疼痛和并发症,但必须能够沿着曲折的路径深入人体。我们之前在MIS机器人上的工作称为高度铰接机器人探针(HARP),使用两个同心驱动的分段管在锁定和推进每个段之间交替进行,实现了跟随领导者的运动。本文提出了一个三维静力模型的竖琴,包括链接到链接的摩擦效应和外部载荷条件,并使最大允许的外部载荷,以确定任何给定的机器人形状。我们研究了机器人形状和驱动肌腱力对有效载荷能力的影响,并在原型HARP平台上对静力学模型进行了实验验证。结果表明,该模型预测有效载荷能力的平均误差和最大误差分别低于有效载荷的6.1%和15.8%。本文提出的模型将使未来的设计、控制和规划方法与HARP机器人优化其有效载荷能力的MIS任务。
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Statics Modeling of Discrete Joint Surgical Probes with Tendon-based Stiffening
Minimally-invasive surgical (MIS) robots can reduce post-operative pain and complications but must be able to follow tortuous paths to reach deep into the body. Our prior work on an MIS robot called the highly articulated robot probe (HARP) achieved follow-the-leader motion using two concentrically driven segmented tubes that alternate between locking and advancing each segment. This paper presents a 3D statics model for the HARP that includes link-to-link friction effects and external loading conditions and enables the maximum admissible external load to be determined for any given robot shape. We investigate how the payload capacity is influenced by both the robot's shape and the actuation tendon forces and validate the statics model experimentally on a prototype HARP platform. Our results across a set of four configurations demonstrate that the proposed model can predict the payload capacity with a mean and max error below 6.1% and 15.8% of the configuration's payload, respectively. The model presented in this paper will enable future design, control, and planning methods with HARP robots to optimize their payload capacity for MIS tasks.
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