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在机器人辅助骨钻中,对路径偏差的强力位置混合补偿控制
Shibo Li1, Xin Zhong1,2, Yuanyuan Yang1
1Guangdong-Hong Kong-Macao Joint Laboratory of Human-Machine Intelligence-Synergy Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China.
Sensors (Basel, Switzerland)
|August 26, 2023
概括
机器人辅助骨钻探面临由于工具和机器人变形而导致路径偏差的挑战. 一个新的控制框架显著减少了偏差,提高了骨科手术的准确性和安全性.
科学领域:
- 整形外科手术 整形外科手术
- 机器人技术 机器人技术 机器人技术
- 生物机械工程 生物机械工程
背景情况:
- 机器人辅助的骨钻在骨科中至关重要.
- 在皮质骨表面上的工具路径偏差会影响准确性和安全性.
- 工具和机器人变形是导致路径偏差的关键因素.
研究的目的:
- 开发用于机器人辅助骨钻井的补偿控制框架.
- 为了解决由工具骨相互作用和机器人刚性引起的工具路径偏差.
- 为了提高定位精度,孔质量和外科安全.
主要方法:
- 建立了工具骨相互作用的多阶段机械模型.
- 开发了一种机器人度模型和一个关节度识别方法.
- 提出了一个带有路径预测的强势位置混合补偿控制框架.
主要成果:
- 减少了56.6%的路径偏差.
- 削减了38.5%的工具力.
- 洞穴质量得到了显著的改善.
结论:
- 拟议的补偿控制方法有效地减轻了机器人辅助骨钻过程中的路径偏差.
- 多阶段机械模型和关节度识别提高了准确性和安全性.
- 这种方法为骨科外科手术程序提供了显著的改进.
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