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复合连续机器人用于外科手术的合分析:另一条思路
Hangxing Wei1,2, Gang Zhang1,2, Shengsong Wang3
1School of Mechanical Engineering, Shandong University, Jinan 250061, China.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
这项研究利用复合连续机器人固有的合来提高外科手术的精度. 一个新的反向运动算法显著加快了计算速度,并实现了复杂的机器人运动的高精度.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 机械工程 机械工程
- 手术技术 手术技术
背景情况:
- 复合连续机器人结合了同心管和电缆驱动组件,用于复杂的运动.
- 组件相互作用导致合,降低机器人的精度.
- 减轻合引起的错误对于提高机器人的性能至关重要.
研究的目的:
- 为了利用组件合在复合连续机器人精确的外科手术程序.
- 为这种合系统开发一种动力学模型和一个反向动力学算法.
- 简化复杂的非线性方程,以获得更快的反动力学解.
主要方法:
- 为复合连续机器人建立了一个运动模型.
- 开发了一个反向动力学 (IK) 算法,将非线性系统简化为单个方程.
- 进行模拟和实验以验证算法的效率和系统的准确性.
主要成果:
- 与莱文伯格-马奎德特方法相比,提出的IK算法提供了2.8 × 10^3的显著加快速度.
- 实验结果显示高精度,重复定位精度为0.9毫米.
- 追踪精度为1.5毫米,证明了系统的有效性.
结论:
- 开发的方法有效地利用组件合用于高精度外科手术.
- 简化的IK算法提高了计算速度,但不影响准确性.
- 这项研究为管理复合连续机器人的合做出了重大贡献.
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