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Updated: Jul 18, 2025

Operation of the Collaborative Composite Manufacturing CCM System
Published on: October 1, 2019
基于模型设计的COAST导线机器人用于大偏移
Yash Chitalia1, Achraj Sarma2, Timothy A Brumfiel3
1Healthcare Robotics and Telesurgery (HeaRT) Laboratory, Department of Mechanical Engineering, University of Louisville, KY, USA. He contributed to the work presented in this paper when he was a graduate student in the RoboMed Laboratory at the Georgia Institute of Technology, GA, USA.
本研究介绍了可引导导线机器人的系统设计程序,优化管道选择,以提高最小侵入性内血管程序的精度. 新方法减少了尖端前曲率,并最大限度地减少了突然运动,以获得更好的控制.
科学领域:
- 医疗机器人 医疗机器人
- 机械工程 机械工程
- 生物医疗设备 生物医疗设备
背景情况:
- 最少入侵的内血管程序依赖于导线,但血管曲和尖端控制不佳带来了挑战.
- 现有的可引导导线系统使用各种执行方法,但缺乏标准化程序来选择加工参数.
- 精确的导线控制对于安全有效地导航复杂的血管解剖学至关重要.
研究的目的:
- 开发一个系统的设计程序来选择 COaxially Aligned STeerable (COAST) 导线机器人的管对.
- 引入一个机械模型,考虑微加工诱导的预曲率,以优化导线设计.
- 为了减少远端前曲率,并最大限度地减少突如其来的变化驱动的尖端位置.
主要方法:
- 开发了一种机械模型,将微加工诱导的预曲率用于导线管对的选择.
- 引入了一种系统的设计程序,重点是优化管对之间的曲刚性.
- 调整了动力学建模,以描述COAST机器人的曲行为,以适应不同的微机管几何形状.
主要成果:
- 拟议的设计程序旨在减少联合远端前曲.
- 该方法最大限度地减少了COAST导线机器人的触动尖端位置的突然变化.
- 验证研究显示,尖端位置错误的平均根平均平方误差 (RMSE) 为0.816毫米.
结论:
- 已经建立了COAST导线机器人管选择的系统设计程序.
- 开发的机械模型和设计方法提高了可转向导线系统的精度和控制.
- 这项工作有助于通过先进的机器人导线技术提高内血管程序的安全性和有效性.
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