{"title":"机器人通过与用户和环境的互动来学习技能","authors":"Sylvain Calinoti","doi":"10.1109/URAI.2014.7057522","DOIUrl":null,"url":null,"abstract":"The fast technological evolution and dissemination of multimodal sensors and compliant actuators bring a new human-centric perspective to robotics. The variety of human-robot interactions that stem from these new capabilities unveil compelling challenges for machine learning.","PeriodicalId":182404,"journal":{"name":"International Conference on Ubiquitous Robots and Ambient Intelligence","volume":"194 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Skills learning in robots by interaction with users and environment\",\"authors\":\"Sylvain Calinoti\",\"doi\":\"10.1109/URAI.2014.7057522\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The fast technological evolution and dissemination of multimodal sensors and compliant actuators bring a new human-centric perspective to robotics. The variety of human-robot interactions that stem from these new capabilities unveil compelling challenges for machine learning.\",\"PeriodicalId\":182404,\"journal\":{\"name\":\"International Conference on Ubiquitous Robots and Ambient Intelligence\",\"volume\":\"194 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Conference on Ubiquitous Robots and Ambient Intelligence\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/URAI.2014.7057522\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Ubiquitous Robots and Ambient Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/URAI.2014.7057522","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Skills learning in robots by interaction with users and environment
The fast technological evolution and dissemination of multimodal sensors and compliant actuators bring a new human-centric perspective to robotics. The variety of human-robot interactions that stem from these new capabilities unveil compelling challenges for machine learning.
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