Model-Based Error Correction for Flexible Robotic Surgical Instruments

Ryan A. Beasley, R. Howe
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引用次数: 14

Abstract

Robots promise to enhance minimally-invasive surgery, but flexion of the thin instrument shaft introduces error into models of the robot kinematics. Visual or electromagnetic tracking of the instrument tip provides correct forward kinematics, but uncertainty in shaft bending and port location leaves residual errors in inverse kinematics. These errors can cause incorrect motions that preclude the use of image-guidance tools. This paper proposes a model-based controller to correct the commanded motions. Comparison with a controller assuming a straight instrument shaft quantifies motion errors resulting from the use of a straight shaft controller. Analysis of the flexed shaft controller shows sensitivity to shaft length, shaft stiffness, tip force, and sensor noise.
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基于模型的柔性机器人手术器械误差校正
机器人有望提高微创手术,但细长的仪器轴的弯曲会给机器人运动学模型带来误差。仪表尖端的视觉或电磁跟踪提供了正确的正运动学,但轴弯曲和端口位置的不确定性在逆运动学中留下了残余误差。这些误差会导致不正确的运动,从而妨碍图像引导工具的使用。本文提出了一种基于模型的控制器来校正指令运动。与假设仪表轴为直轴的控制器的比较可以量化由于使用直轴控制器而产生的运动误差。柔性轴控制器的分析显示了对轴长、轴刚度、尖端力和传感器噪声的敏感性。
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