{"title":"基于力的机器人技能示范学习方法的比较","authors":"Aljaz Kramberger","doi":"10.1109/RAAD.2014.7002256","DOIUrl":null,"url":null,"abstract":"Conventional programming techniques for robotic operations in unstructured environments are not suitable for human-like robot executions. In this paper we present a comparison of three different learning-by-demonstration techniques. A force-based representation of the learned data is presented and analyzed. The action to verify the experimental results can be related to Peg-in-Hole action. The results show which method is the most suitable to use for the specified task.","PeriodicalId":205930,"journal":{"name":"2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A comparison of learning-by-demonstration methods for force-based robot skills\",\"authors\":\"Aljaz Kramberger\",\"doi\":\"10.1109/RAAD.2014.7002256\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Conventional programming techniques for robotic operations in unstructured environments are not suitable for human-like robot executions. In this paper we present a comparison of three different learning-by-demonstration techniques. A force-based representation of the learned data is presented and analyzed. The action to verify the experimental results can be related to Peg-in-Hole action. The results show which method is the most suitable to use for the specified task.\",\"PeriodicalId\":205930,\"journal\":{\"name\":\"2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)\",\"volume\":\"85 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAAD.2014.7002256\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 23rd International Conference on Robotics in Alpe-Adria-Danube Region (RAAD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAAD.2014.7002256","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A comparison of learning-by-demonstration methods for force-based robot skills
Conventional programming techniques for robotic operations in unstructured environments are not suitable for human-like robot executions. In this paper we present a comparison of three different learning-by-demonstration techniques. A force-based representation of the learned data is presented and analyzed. The action to verify the experimental results can be related to Peg-in-Hole action. The results show which method is the most suitable to use for the specified task.