SAM:可扩展连续操纵器和实时歇斯底里补偿控制算法的半活性机制
Junhyun Park1, Seonghyeok Jang1, Myeongbo Park1
1Department of Robotics and Mechatronics Engineering, Daegu Gyeongbuk Institute of Science and Technology (DGIST), Daegu, South Korea.
概括
这项研究引入了一种可扩展的有线驱动连续操纵器 (CDCM),具有半活性机制 (SAM) 和基于TCN的控制器,以减少歇斯底里,提高外科准确性.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 医疗器械 医疗器械
- 控制系统 控制系统
背景情况:
- 电缆驱动的连续操纵器 (CDCM) 提供无痕的手术接入.
- 在CDCM中的歇斯底里作用限制了工作空间和控制精度.
研究的目的:
- 开发一个具有半活性机制 (SAM) 的可扩展CDCM.
- 使用时间卷积网络 (TCN) 实现实时歇斯底里补偿控制算法.
主要方法:
- 设计了一个可扩展的CDCM与SAM.
- 开发了一个基于TCN的控制算法,用于实时歇斯底里补偿.
- 利用来自信托标记和RGBD传感的数据.
主要成果:
- 拟议的控制器在随机轨迹跟踪中将hysteresis降低了多达69.5%.
- 在指着盒子的任务中观察到大约26%的歇斯底里减小.
- 实现了对hysteresis行为实时预测和最小化错误的实现.
结论:
- 该SAM机制有助于访问各种病变,以最小的组织损伤.
- 基于TCN的歇斯底里斯补偿通过最小化位置和关节角度错误来提高手术精度.
- 这种方法具有显著的潜力,可以提高外科手术任务的性能.
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