{"title":"力控机器人二阶曲面几何辨识","authors":"S. Demey, J. Schutter","doi":"10.1109/IROS.1996.570835","DOIUrl":null,"url":null,"abstract":"This paper shows how to identify the local second order shape of an unknown surface with a force controlled robot. Dedicated tools and paths are designed in order to make the identification easier. Two basic methods are presented, based on measurements of contact forces and of positions and velocities of the end effector. The first method fits a surface through a set of contact points while the second method uses the shape of surface curves. Experiments show that following two curves of limited length is sufficient to identify second order surface shape with an accuracy which is in general better than 10%. The most important result however is that this accuracy is sufficient to increase the performance of subsequent surface following tasks.","PeriodicalId":374871,"journal":{"name":"Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Identification of second order surface geometry with a force controlled robot\",\"authors\":\"S. Demey, J. Schutter\",\"doi\":\"10.1109/IROS.1996.570835\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper shows how to identify the local second order shape of an unknown surface with a force controlled robot. Dedicated tools and paths are designed in order to make the identification easier. Two basic methods are presented, based on measurements of contact forces and of positions and velocities of the end effector. The first method fits a surface through a set of contact points while the second method uses the shape of surface curves. Experiments show that following two curves of limited length is sufficient to identify second order surface shape with an accuracy which is in general better than 10%. The most important result however is that this accuracy is sufficient to increase the performance of subsequent surface following tasks.\",\"PeriodicalId\":374871,\"journal\":{\"name\":\"Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96\",\"volume\":\"27 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-11-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IROS.1996.570835\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems. IROS '96","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IROS.1996.570835","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identification of second order surface geometry with a force controlled robot
This paper shows how to identify the local second order shape of an unknown surface with a force controlled robot. Dedicated tools and paths are designed in order to make the identification easier. Two basic methods are presented, based on measurements of contact forces and of positions and velocities of the end effector. The first method fits a surface through a set of contact points while the second method uses the shape of surface curves. Experiments show that following two curves of limited length is sufficient to identify second order surface shape with an accuracy which is in general better than 10%. The most important result however is that this accuracy is sufficient to increase the performance of subsequent surface following tasks.