The LEGOLAS Kit: A low-cost robot science kit for education with symbolic regression for hypothesis discovery and validation
The LEGOLAS Kit: A low-cost robot science kit for education with symbolic regression for hypothesis discovery and validation
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LEGOLAS 套件：用于教育的低成本机器人科学套件，具有用于假设发现和验证的符号回归
DOI：
10.1557/s43577-022-00430-2
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发表时间：
2022
期刊：
影响因子：
5
通讯作者：
A. Kusne
中科院分区：
文献类型：
--
作者：
Logan Saar;Haotong Liang;A. Wang;A. McDannald;Efrain Rodriguez;I. Takeuchi;A. Kusne
下一代物理科学涉及机器人科学家——能够在闭环中进行实验设计、执行和分析的自主物理科学系统。此类系统在科学探索和发现方面取得了现实世界的成功，包括首次发现一流的材料。为了构建和使用这些系统，下一代劳动力需要不同领域的专业知识，包括机器学习、控制系统、测量科学、材料合成、决策理论等。然而，教育却是滞后的。教育工作者需要一个低成本、易于使用的平台来教授所需的技能。工业界还可以使用这样的平台来开发和评估自主物理科学方法。我们展示了下一代科学教育，这是一个用于培养低成本自主科学家的工具包。该套件在马里兰大学的两门课程中用于教授本科生和研究生自主物理科学。我们以亨德森-哈塞尔巴尔赫方程的自主实验“发现”为例，讨论了它在课程中的使用以及它在教授自主模型探索、优化和确定的双重任务方面的更大能力。
The next generation of physical science involves robot scientists - autonomous physical science systems capable of experimental design, execution, and analysis in a closed loop. Such systems have shown real-world success for scientific exploration and discovery, including the first discovery of a best-in-class material. To build and use these systems, the next generation workforce requires expertise in diverse areas including ML, control systems, measurement science, materials synthesis, decision theory, among others. However, education is lagging. Educators need a low-cost, easy-to-use platform to teach the required skills. Industry can also use such a platform for developing and evaluating autonomous physical science methodologies. We present the next generation in science education, a kit for building a low-cost autonomous scientist. The kit was used during two courses at the University of Maryland to teach undergraduate and graduate students autonomous physical science. We discuss its use in the course and its greater capability to teach the dual tasks of autonomous model exploration, optimization, and determination, with an example of autonomous experimental"discovery"of the Henderson-Hasselbalch equation.
DOI：
10.1016/j.matt.2021.06.036
发表时间：
2021-07
期刊：
--
影响因子：
--
作者：
E. Stach;Brian L. DeCost;A. Kusne;J. Hattrick-Simpers;Keith A. Brown;Kristofer G. Reyes;Joshua Schrier;S. Billinge;T. Buonassisi;Ian T Foster;Carla P. Gomes;J. Gregoire;Apurva Mehta;Joseph H. Montoya;E. Olivetti;Chiwoo Park;E. Rotenberg;S. Saikin;S. Smullin;V. Stanev;B. Maruyama
通讯作者：
E. Stach;Brian L. DeCost;A. Kusne;J. Hattrick-Simpers;Keith A. Brown;Kristofer G. Reyes;Joshua Schrier;S. Billinge;T. Buonassisi;Ian T Foster;Carla P. Gomes;J. Gregoire;Apurva Mehta;Joseph H. Montoya;E. Olivetti;Chiwoo Park;E. Rotenberg;S. Saikin;S. Smullin;V. Stanev;B. Maruyama
影响因子：
9.8
作者：
Gerber LC;Calasanz-Kaiser A;Hyman L;Voitiuk K;Patil U;Riedel-Kruse IH
通讯作者：
Riedel-Kruse IH