计算机科学
工作区
机器人
人工智能
计算机视觉
可扩展性
模拟
控制器(灌溉)
可视化
实时计算
经济短缺
超调(微波通信)
机器人学
钥匙(锁)
支持向量机
嵌入式系统
限制
控制系统
坐标系
移动机器人
自动化
跟踪系统
机器视觉
作者
Lanhui Wang,Pengcheng Zhang,Zi Wang,Mingrui Hao,Zhaokun Deng,Ling Guan,Ying Li,Taizhong Wang,Kairou Guo,S Wang
摘要
BACKGROUND: To overcome key challenges in traditional moxibustion, such as the shortage of skilled practitioners, time-consuming and labour-intensive procedures, this study developed an intelligent robotic system for automated acupoint positioning and moxibustion execution. METHODS: The system established a standardised acupoint coordinate map utilising DensePose-based body normalisation and statistical modelling from 50 subjects. A hybrid serial-parallel robot design enabled large workspace and high precision for bedside application. Safety was ensured by a Model Predictive Controller utilising real-time thermal feedback for dynamic distance adjustment. RESULTS: mm (lower limbs). The system responded to temperature changes within 0.25 s, limiting overshoot to below 0.8°C. CONCLUSIONS: This integrated robotic system provides a precise and scalable solution for automated moxibustion, particularly valuable for resource-limited clinical environments. TRIAL REGISTRATION: It was an investigational clinical study, not a registrational clinical trial.
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