机器人缝合轨迹优化

Der-Lin Chow, W. Newman
{"title":"机器人缝合轨迹优化","authors":"Der-Lin Chow, W. Newman","doi":"10.1109/TePRA.2015.7219672","DOIUrl":null,"url":null,"abstract":"This paper presents progress towards autonomous knot-tying in Robotic Assisted Minimally Invasive Surgery. While successful demonstrations of robotic knot-tying have been achieved, objective comparisons of competing approaches have been lacking. In this presentation we describe how to score a proposed procedure in terms of speed and volume. Applying the scoring metric has motivated an improved procedure for knot-tying, as well as a pathway to automated discovery for trajectory optimizations.","PeriodicalId":325788,"journal":{"name":"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-05-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Trajectory optimization of robotic suturing\",\"authors\":\"Der-Lin Chow, W. Newman\",\"doi\":\"10.1109/TePRA.2015.7219672\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents progress towards autonomous knot-tying in Robotic Assisted Minimally Invasive Surgery. While successful demonstrations of robotic knot-tying have been achieved, objective comparisons of competing approaches have been lacking. In this presentation we describe how to score a proposed procedure in terms of speed and volume. Applying the scoring metric has motivated an improved procedure for knot-tying, as well as a pathway to automated discovery for trajectory optimizations.\",\"PeriodicalId\":325788,\"journal\":{\"name\":\"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-05-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TePRA.2015.7219672\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE International Conference on Technologies for Practical Robot Applications (TePRA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TePRA.2015.7219672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

摘要

本文介绍了机器人辅助微创手术中自主打结的进展。虽然已经实现了机器人打结的成功演示,但缺乏对竞争方法的客观比较。在本演示中,我们将描述如何根据速度和容量对拟议程序进行评分。应用评分指标可以改进打结过程,并实现轨迹优化的自动发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Trajectory optimization of robotic suturing
This paper presents progress towards autonomous knot-tying in Robotic Assisted Minimally Invasive Surgery. While successful demonstrations of robotic knot-tying have been achieved, objective comparisons of competing approaches have been lacking. In this presentation we describe how to score a proposed procedure in terms of speed and volume. Applying the scoring metric has motivated an improved procedure for knot-tying, as well as a pathway to automated discovery for trajectory optimizations.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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