{"title":"领域超语言将机器人聚集在一起,使机器学习社区成为可能","authors":"Shakti P. Padhy, Sergei V. Kalinin","doi":"10.1016/j.device.2023.100115","DOIUrl":null,"url":null,"abstract":"Domain-specific hyper-languages are pivotal for enhancing collaboration between machines, large language models, and humans. In this issue of Device, Esvelt and co-workers present PyLabRobot, an open-source hyper-language framework, emphasizing its role in ensuring seamless communication between diverse robotic systems and lab equipment. We posit that such domain-specific hyper-languages are essential in revolutionizing research practices and accelerating scientific discoveries by streamlining and democratizing automation processes.","PeriodicalId":101324,"journal":{"name":"Device","volume":"129 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Domain hyper-languages bring robots together and enable the machine learning community\",\"authors\":\"Shakti P. Padhy, Sergei V. Kalinin\",\"doi\":\"10.1016/j.device.2023.100115\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Domain-specific hyper-languages are pivotal for enhancing collaboration between machines, large language models, and humans. In this issue of Device, Esvelt and co-workers present PyLabRobot, an open-source hyper-language framework, emphasizing its role in ensuring seamless communication between diverse robotic systems and lab equipment. We posit that such domain-specific hyper-languages are essential in revolutionizing research practices and accelerating scientific discoveries by streamlining and democratizing automation processes.\",\"PeriodicalId\":101324,\"journal\":{\"name\":\"Device\",\"volume\":\"129 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Device\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1016/j.device.2023.100115\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Device","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1016/j.device.2023.100115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Domain hyper-languages bring robots together and enable the machine learning community
Domain-specific hyper-languages are pivotal for enhancing collaboration between machines, large language models, and humans. In this issue of Device, Esvelt and co-workers present PyLabRobot, an open-source hyper-language framework, emphasizing its role in ensuring seamless communication between diverse robotic systems and lab equipment. We posit that such domain-specific hyper-languages are essential in revolutionizing research practices and accelerating scientific discoveries by streamlining and democratizing automation processes.