{"title":"Friction-model-based estimation of interaction force of a surgical robot","authors":"Subon Kim, D. Lee","doi":"10.1109/ICCAS.2015.7364591","DOIUrl":null,"url":null,"abstract":"This paper reports a method to estimate the interaction forces between the surgical robot instrument and the organ tissues. A previous estimation method uses the kinematical relationship of the surgical robot instrument to estimate the interaction force at the distant tip. It is experimentally found that there is non-ignorable estimation error due to some torque loss and the friction forces inside the instrument attributes to the torque loss. In this paper, a friction model is developed to more accurately estimate the interaction force considering the structure of the instrument. The friction model also reflects the effects of the tendon-driven mechanism inside the instrument on the estimation error. Experimental result shows that the estimation error can be reduced approximately 80% in single degree of freedom free motion compared to when the friction force model was not used.","PeriodicalId":6641,"journal":{"name":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","volume":"34 1","pages":"1503-1507"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 15th International Conference on Control, Automation and Systems (ICCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCAS.2015.7364591","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
This paper reports a method to estimate the interaction forces between the surgical robot instrument and the organ tissues. A previous estimation method uses the kinematical relationship of the surgical robot instrument to estimate the interaction force at the distant tip. It is experimentally found that there is non-ignorable estimation error due to some torque loss and the friction forces inside the instrument attributes to the torque loss. In this paper, a friction model is developed to more accurately estimate the interaction force considering the structure of the instrument. The friction model also reflects the effects of the tendon-driven mechanism inside the instrument on the estimation error. Experimental result shows that the estimation error can be reduced approximately 80% in single degree of freedom free motion compared to when the friction force model was not used.