1 Robots, Evolution, and Art Lab (REAL), IT University of Copenhagen, Copenhagen, Denmark.
SLAS Technol. 2017 Oct;22(5):500-506. doi: 10.1177/2472630316689285. Epub 2017 Jan 31.
We introduce a robot developed to perform feedback-based experiments, such as droplet experiments, a common type of experiments in artificial chemical life research. These experiments are particularly well suited for automation because they often stretch over long periods of time, possibly hours, and often require that the human takes action in response to observed events such as changes in droplet size, count, shape, or clustering or declustering of multiple droplets. Our robot is designed to monitor long-term experiments and, based on the feedback from the experiment, interact with it. The combination of precise automation, accurately collected experiment data, and integrated analysis and modeling software makes real-time interaction with the experiment feasible, as opposed to traditional offline processing of experiments. Last but not least, we believe the low cost of our platform can promote artificial life research. Furthermore, prevalently, findings from an experiment will inspire redesign for novel experiments. In addition, the robot's open-source software enables easy modification of experiments. We will cover two case studies for application of our robot in feedback-based experiments and demonstrate how our robot can not only automate these experiments, collect data, and interact with the experiments intelligently but also enable chemists to perform formerly infeasible experiments.
我们介绍了一种机器人,它被开发用于进行反馈实验,例如液滴实验,这是人工化学生命研究中常见的一种实验类型。这些实验特别适合自动化,因为它们通常需要持续很长时间,可能需要数小时,并且通常需要人类根据观察到的事件采取行动,例如液滴大小、数量、形状的变化,或者多个液滴的聚集或离散。我们的机器人旨在监测长期实验,并根据实验的反馈与之交互。精确的自动化、准确收集的实验数据以及集成的分析和建模软件的结合,使得实时与实验进行交互成为可能,而不是传统的离线处理实验。最后但同样重要的是,我们相信我们平台的低成本可以促进人工生命研究。此外,实验的发现通常会激发新实验的重新设计。此外,机器人的开源软件使得实验的修改变得容易。我们将介绍两个关于我们的机器人在反馈实验中的应用案例研究,并展示我们的机器人如何不仅可以自动化这些实验、收集数据和智能地与实验交互,还可以使化学家能够执行以前不可行的实验。