{"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}
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.