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Vision-based real-time position control of a semi-automated system for robot-assisted joint fracture surgery

机译:基于视觉的机器人辅助关节骨折手术半自动化系统的实时位置控制

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摘要

Purpose: Joint fracture surgery quality can be improved by robotic system with high accuracy and repeatabilityudfracture fragment manipulation. A new real-time vision-based system for fragment manipulation during robot-assisted fracture surgery was developed and tested.udMethods: The control strategy was accomplished by merging fast open-loop control with vision-based control. Thisudtwo-phase process is designed to eliminate the open-loop positioning errors by closing the control loop using visual feedback provided by an optical tracking system. Evaluation of the control system accuracy was performed using robot positioning trials, and fracture reduction accuracy was tested in trials on ex-vivo porcine model.udResults: The system resulted in high fracture reduction reliability with a reduction accuracy of 0.09mm (translations) and of 0.15° (rotations), maximum observed errors in the order of 0.12mm (translations) and of 0.18° (rotations),and a reduction repeatability of 0.02mm and 0.03°.udConclusions: The proposed vision-based system was shown to be effective and suitable for real joint fractureudsurgical procedures, contributing a potential improvement of their quality.
机译:目的:利用机器人系统可以提高关节骨折的手术质量,重复精度高,可重复操作。开发并测试了一种新的基于实时视觉的机器人辅助骨折手术中碎片操作的系统。 ud方法:控制策略是通过将快速开环控制与基于视觉的控制相结合而实现的。此双相过程旨在通过使用光学跟踪系统提供的视觉反馈来闭合控制回路,从而消除开环定位误差。使用机器人定位试验对控制系统的准确性进行评估,并在离体猪模型的试验中对骨折复位的准确性进行了测试。 ud结果:该系统具有很高的骨折复位可靠性,复位精度为0.09mm(平移), 0.15°(旋转),最大观察到的误差为0.12mm(平移)和0.18°(旋转),还原重复性为0.02mm和0.03°。 ud结论:所提出的基于视觉的系统显示出有效且适合于实际的关节骨折/外科手术,可能会改善其质量。

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