Optimizing Robot-Assisted Surgery Suture Plans to Avoid Joint Limits and Singularities

Brijen Thananjeyan, A. Tanwani, Jessica J. Ji, Danyal Fer, Vatsal Patel, S. Krishnan, Ken Goldberg
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引用次数: 10

Abstract

Laparoscopic robots such as the da Vinci Research Kit encounter joint limits and singularities during procedures, leading to errors and prolonged operating times. We propose the Circle Suture Placement Problem to optimize the location and direction of four evenly-spaced stay sutures on surgical mesh for robot-assisted hernia surgery. We present an algorithm for this problem that runs in 0.4 seconds on a desktop equipped with commodity hardware. Simulated results integrating data from expert surgeon demonstrations suggest that optimizing over both suture position and direction increases dexterity reward by 11%-57% over baseline algorithms that optimize over either suture position or direction only.
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优化机器人辅助手术缝合计划,避免关节限制和奇点
像达芬奇研究套件这样的腹腔镜机器人在手术过程中会遇到关节极限和奇点,导致错误和延长手术时间。我们提出了圆形缝线放置问题,以优化手术补片上四个均匀间隔的缝线的位置和方向,用于机器人辅助疝气手术。我们提出了一个解决这个问题的算法,该算法在配备普通硬件的桌面上运行0.4秒。整合专家外科医生演示数据的模拟结果表明,与仅优化缝合位置或方向的基线算法相比,优化缝合位置和方向可使灵巧性奖励提高11%-57%。
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