在单端口最小侵入性机器人中模拟远程中心机制的动态
Bainan Liu1, Dongsheng Li1, Bo Pan2
1State Key Laboratory of Robotics and System, Harbin Institute of Technology, Harbin, China.
概括
本研究介绍了单端口手术机器人的新动态模型,提高了力控制精度和降低噪音,以获得更好的外科手术结果.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 手术技术 手术技术
- 控制系统 控制系统
背景情况:
- 单端口手术机器人提供了最小侵入性的好处,如更小的切口和更快的恢复.
- 精确的动态建模对于这些机器人有效的力量控制至关重要.
- 远程中心机制 (RCM) 是一个关键组件,需要精确的建模.
研究的目的:
- 开发和验证单端口手术机器人中RCM的动态模型识别方法.
- 为了增强这些机器人系统的力量控制能力.
主要方法:
- 从RCM的树结构中获得的最小参数集被用于动态模型识别.
- 一个非线性摩擦模型用于镜连接被纳入并确定.
- 代重权最小方程 (IRLS),顺序二次编程 (SQP) 和异常值检测完善了参数集.
- 适应式卡尔曼波器 (AKF) 用于在位置差异化中抑制噪音.
主要成果:
- 拟议的方法证明了动态模型的更好的适配精度.
- 对交叉验证轨迹数据实现了低偏差预测.
- 证实了有效的噪声抑制,确保了流的速度和加速度数据.
结论:
- 开发的动态模型识别方法提高了单端口手术机器人的整体建模精度.
- 这种方法有效地抑制噪声,从而产生更可靠的控制信号.
- 这有助于推进精确和安全的机器人手术.
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