{"title":"利用机器学习和机器人技术发现塑料替代品","authors":"Melisa Yashinski","doi":"10.1126/scirobotics.adp7392","DOIUrl":null,"url":null,"abstract":"<div >Discovery of all-natural thin films with tunable properties was partially automated using robotics and machine learning.</div>","PeriodicalId":56029,"journal":{"name":"Science Robotics","volume":"9 89","pages":""},"PeriodicalIF":26.1000,"publicationDate":"2024-04-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using machine learning and robotics to discover plastic substitutes\",\"authors\":\"Melisa Yashinski\",\"doi\":\"10.1126/scirobotics.adp7392\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div >Discovery of all-natural thin films with tunable properties was partially automated using robotics and machine learning.</div>\",\"PeriodicalId\":56029,\"journal\":{\"name\":\"Science Robotics\",\"volume\":\"9 89\",\"pages\":\"\"},\"PeriodicalIF\":26.1000,\"publicationDate\":\"2024-04-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science Robotics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.science.org/doi/10.1126/scirobotics.adp7392\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ROBOTICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science Robotics","FirstCategoryId":"94","ListUrlMain":"https://www.science.org/doi/10.1126/scirobotics.adp7392","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ROBOTICS","Score":null,"Total":0}
期刊介绍:
Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals.
Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.