机器人手术工具的机载视觉微伺服。

IF 7.3 1区 工程技术 Q1 INSTRUMENTS & INSTRUMENTATION
Xu Chen, Michail E Kiziroglou, Eric M Yeatman
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引用次数: 0

摘要

精确运动驱动是微型医疗机器人在各种应用中的关键技术,例如基于光纤的诊断和干预工具。传统的感应驱动机构很难缩小规模。压电材料提供了一种可扩展、精确、快速和高强度的方法,但在有限的位移范围内。在以前的工作中,压电梁(弯曲器)与柔性运动平移结构的组合已被证明是机器人微驱动的有前途的。本文采用该方法实现了一个三自由度delta机器人,该机器人适用于导管、诊断光纤和显微手术工具操作。制造工艺结合了增材制造、折纸结构和压电梁组装。闭环控制采用了一种新的车载视觉反馈概念。与典型的光学运动系统相比,完全内部视觉反馈提供了系统紧凑性,具有精确可靠的相机到标记的几何定义。利用该方法对运动精度为7.5 μm、分辨率为10 μm、精度为8.1 μm的delta机器人进行了仿真。该机器人在这些规范下遵循一系列可编程轨迹,并补偿显微外科手术操作过程中通常预期的外部施加力。据我们所知,这是第一次使用内部视觉反馈演示微运动控制,它为高分辨率紧凑型微型机器人开辟了道路。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Onboard visual micro-servoing on robotic surgery tools.

Precision motion actuation is a key technology for miniature medical robotics in a variety of applications, such as optical fibre-based diagnosis and intervention tools. Conventional inductive actuation mechanisms are challenging to scale down. Piezoelectric materials offer a scalable, precise, fast and high-force method but at a limited displacement range. In previous work, the combination of piezoelectric beams (benders) with compliant motion translation structures has been shown to be promising for robotic micro-actuation. In this paper, this approach is employed to implement a three degrees of freedom delta robot, suitable for catheter, diagnostic optical fibre and microsurgery tool manipulation. The fabrication process combines additive manufacturing, origami structuring and piezoelectric beam assembly. Closed-loop control is implemented using a new, on-board visual feedback concept. In contrast to typical optical motion systems, the fully internal visual feedback offers system compactness with precise and reliable camera-to-marker geometry definition. By employment of this method, a delta robot with motion accuracy of 7.5 μm, resolution of 10 μm and 8.1 μm precision is demonstrated. The robot is shown to follow a range of programmable trajectories under these specifications, and to compensate for externally applied forces typically expected during microsurgery manipulations. This is the first, to our knowledge, demonstration of micromotion control using internal visual feedback, and it opens up the way for high-resolution compact microrobots.

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来源期刊
Microsystems & Nanoengineering
Microsystems & Nanoengineering Materials Science-Materials Science (miscellaneous)
CiteScore
12.00
自引率
3.80%
发文量
123
审稿时长
20 weeks
期刊介绍: Microsystems & Nanoengineering is a comprehensive online journal that focuses on the field of Micro and Nano Electro Mechanical Systems (MEMS and NEMS). It provides a platform for researchers to share their original research findings and review articles in this area. The journal covers a wide range of topics, from fundamental research to practical applications. Published by Springer Nature, in collaboration with the Aerospace Information Research Institute, Chinese Academy of Sciences, and with the support of the State Key Laboratory of Transducer Technology, it is an esteemed publication in the field. As an open access journal, it offers free access to its content, allowing readers from around the world to benefit from the latest developments in MEMS and NEMS.
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