University laboratories deliver unique hands-on experimentation opportunities for STEM students, but often lack state-of-the-art equipment and provide limited access to their equipment. The University of Texas Cloud Laboratory (CLAB) provides remote access to cutting-edge series elastic actuators for student experimentation regarding human-centered robotics, dynamical systems, and controls. Through a browser-based interface, students are provided with learning materials using a remote hardware-in-the-loop system for effective, experiment-based education. This article discusses the methods used to connect remote hardware to mobile and desktop browsers, the adaptation of textbook materials to one degree of freedom arm experiment, data processing, generation of clean and useful results for student interpretation, initial usage of the end-to-end system for individual and group learning, and the acrlong BKT models to evaluate individual and group learning level. The evaluation result shows that the CLAB system successfully increases the knowledge learning of students, and assists students to perform better in the tests.

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分散式执行器控制实验室：教育部署及其学习效果分析

大学实验室为 STEM 学生提供独特的实践实验机会，但往往缺乏最先进的设备，并且对其设备的使用也有限。德克萨斯大学云实验室 (CLAB) 提供对尖端系列弹性执行器的远程访问，供学生进行以人为中心的机器人、动力系统和控制方面的实验。通过基于浏览器的界面，使用远程硬件在环系统为学生提供学习材料，以实现有效的、基于实验的教育。本文讨论了用于将远程硬件连接到移动和桌面浏览器的方法、教科书材料对单自由度手臂实验的适应、数据处理、为学生解释生成干净且有用的结果、端到端的初步使用。个人和小组学习的最终系统，以及评估个人和小组学习水平的acrlong BKT模型。评估结果表明，CLAB系统成功地增加了学生的知识学习，并帮助学生在考试中取得更好的成绩。