摘要
由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器人的详细数据已经公布。根据来自…的消息伦敦大学学院(UCL)，NewsRx记者，研究称，“最近的进展”自动化硬件的开发，例如液体搬运机器人，提供了加速和LES的劳动密集型材料合成和诊断分析的工作流程。此外，大大增加了数据冗余和消除实验者的变异性将有助于提高可靠性和通信结果的再现性"。
Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Data detailed on robotics have been pr esented. According to news originating fromthe University College London (UCL) by NewsRx correspondents, research stated, “Recent advances in thedevelopment o f automation hardware, such as liquid handling robots, offer accelerated and les s laborintensiveworkflows for material synthesis and diagnostic assays. Furthe rmore, greatly increased dataredundancy and removal of the experimenter variabi lity are expected to contribute to higher reliability andreproducibility of com municated results.”
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