Suppr超能文献

用于缆驱动手术机器人的张力传感器阵列。

A Tension Sensor Array for Cable-Driven Surgical Robots.

机构信息

The Hamlyn Centre, Institute of Global Health Innovation, Imperial College London, London W2 1PF, UK.

State Key Laboratory of Mechanics and Control of Aerospace Structures, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.

出版信息

Sensors (Basel). 2024 May 16;24(10):3156. doi: 10.3390/s24103156.

Abstract

Tendon-sheath structures are commonly utilized to drive surgical robots due to their compact size, flexibility, and straightforward controllability. However, long-distance cable tension estimation poses a significant challenge due to its frictional characteristics affected by complicated factors. This paper proposes a miniature tension sensor array for an endoscopic cable-driven parallel robot, aiming to integrate sensors into the distal end of long and flexible surgical instruments to sense cable tension and alleviate friction between the tendon and sheath. The sensor array, mounted at the distal end of the robot, boasts the advantages of a small size (16 mm outer diameter) and reduced frictional impact. A force compensation strategy was presented and verified on a platform with a single cable and subsequently implemented on the robot. The robot demonstrated good performance in a series of palpation tests, exhibiting a 0.173 N average error in force estimation and a 0.213 N root-mean-square error. In blind tests, all ten participants were able to differentiate between silicone pads with varying hardness through force feedback provided by a haptic device.

摘要

腱鞘结构因其体积小、灵活性好和易于控制而被广泛应用于驱动手术机器人。然而,由于其受到复杂因素影响的摩擦特性,长距离缆绳张力估计仍然是一个重大挑战。本文提出了一种用于内窥镜缆绳驱动并联机器人的微型张力传感器阵列,旨在将传感器集成到长而灵活的手术器械的远端,以感知缆绳张力并减轻腱和鞘之间的摩擦。该传感器阵列安装在机器人的远端,具有尺寸小(外径 16 毫米)和减少摩擦影响的优点。提出并验证了一种力补偿策略,该策略在带有单根缆绳的平台上进行了验证,随后在机器人上进行了实施。机器人在一系列触诊测试中表现良好,在力估计方面平均误差为 0.173N,均方根误差为 0.213N。在盲测中,所有十名参与者都能够通过触觉设备提供的力反馈来区分具有不同硬度的硅树脂垫。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/83a1/11125287/f69cdb965cfa/sensors-24-03156-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验