Evaluation of Pre-Training with the da Vinci Skills Simulator on Motor Skill Acquisition in a Surgical Robotics Curriculum

Edoardo Battaglia, Bradly Mueller, D. Hogg, R. Rege, Daniel Scott, A. M. Fey
{"title":"Evaluation of Pre-Training with the da Vinci Skills Simulator on Motor Skill Acquisition in a Surgical Robotics Curriculum","authors":"Edoardo Battaglia, Bradly Mueller, D. Hogg, R. Rege, Daniel Scott, A. M. Fey","doi":"10.1142/s2424905x21500069","DOIUrl":null,"url":null,"abstract":"Training for robotic surgery can be challenging due the complexity of the technology, as well as a high demand for the robotic systems that must be primarily used for clinical care. While robotic surgical skills are traditionally trained using the robotic hardware coupled with physical simulated tissue models and test-beds, there has been an increasing interest in using virtual reality simulators. Use of virtual reality (VR) comes with some advantages, such as the ability to record and track metrics associated with learning. However, evidence of skill transfer from virtual environments to physical robotic tasks has yet to be fully demonstrated. In this work, we evaluate the effect of virtual reality pre-training on performance during a standardized robotic dry-lab training curriculum, where trainees perform a set of tasks and are evaluated with a score based on completion time and errors made during the task. Results show that VR pre-training is weakly significant ([Formula: see text]) in reducing the number of repetitions required to achieve proficiency on the robotic task; however, it is not able to significantly improve performance in any robotic tasks. This suggests that important skills are learned during physical training with the surgical robotic system that cannot yet be replaced with VR training.","PeriodicalId":447761,"journal":{"name":"J. Medical Robotics Res.","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"J. Medical Robotics Res.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/s2424905x21500069","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

Training for robotic surgery can be challenging due the complexity of the technology, as well as a high demand for the robotic systems that must be primarily used for clinical care. While robotic surgical skills are traditionally trained using the robotic hardware coupled with physical simulated tissue models and test-beds, there has been an increasing interest in using virtual reality simulators. Use of virtual reality (VR) comes with some advantages, such as the ability to record and track metrics associated with learning. However, evidence of skill transfer from virtual environments to physical robotic tasks has yet to be fully demonstrated. In this work, we evaluate the effect of virtual reality pre-training on performance during a standardized robotic dry-lab training curriculum, where trainees perform a set of tasks and are evaluated with a score based on completion time and errors made during the task. Results show that VR pre-training is weakly significant ([Formula: see text]) in reducing the number of repetitions required to achieve proficiency on the robotic task; however, it is not able to significantly improve performance in any robotic tasks. This suggests that important skills are learned during physical training with the surgical robotic system that cannot yet be replaced with VR training.
达芬奇技能模拟器对外科机器人课程中运动技能习得的预训练评价
由于技术的复杂性,以及对主要用于临床护理的机器人系统的高需求,机器人手术的培训可能具有挑战性。虽然机器人手术技能传统上是使用机器人硬件以及物理模拟组织模型和试验台来训练的,但人们对使用虚拟现实模拟器的兴趣越来越大。使用虚拟现实(VR)具有一些优势,例如能够记录和跟踪与学习相关的指标。然而,从虚拟环境到物理机器人任务的技能转移的证据尚未得到充分证明。在这项工作中,我们评估了虚拟现实预训练对标准化机器人干实验室训练课程中表现的影响,在该课程中,受训者执行一组任务,并根据完成时间和任务期间发生的错误进行评分。结果表明,VR预训练在减少熟练完成机器人任务所需的重复次数方面具有弱显著性([公式:见文本]);然而,它不能显著提高任何机器人任务的性能。这表明,重要的技能是在外科手术机器人系统的体能训练中学习到的,而这些技能还不能被VR训练所取代。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信