自动化
机器人学
实验室自动化
机器人
概括性
数据科学
计算机科学
数码产品
人工智能
工程管理
系统工程
工程类
电气工程
机械工程
管理
经济
作者
Angelos Angelopoulos,James F. Cahoon,Ron Alterovitz
出处
期刊:Science robotics
[American Association for the Advancement of Science (AAAS)]
日期:2024-10-23
卷期号:9 (95)
标识
DOI:10.1126/scirobotics.adm6991
摘要
Laboratories in chemistry, biochemistry, and materials science are at the leading edge of technology, discovering molecules and materials to unlock capabilities in energy, catalysis, biotechnology, sustainability, electronics, and more. Yet, most modern laboratories resemble factories from generations past, with a large reliance on humans manually performing synthesis and characterization tasks. Robotics and automation can enable scientific experiments to be conducted faster, more safely, more accurately, and with greater reproducibility, allowing scientists to tackle large societal problems in domains such as health and energy on a shorter timescale. We define five levels of laboratory automation, from laboratory assistance to full automation. We also introduce robotics research challenges that arise when increasing levels of automation and when increasing the generality of tasks within the laboratory. Robots are poised to transform science labs into automated factories of discovery that accelerate scientific progress.
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