Open Remote Web Lab for Learning Robotics and ROS With Physical and Simulated Robots in an Authentic Developer Environment

IF 2.9 3区 教育学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS IEEE Transactions on Learning Technologies Pub Date : 2024-03-27 DOI:10.1109/TLT.2024.3381858
Dāvis Krūmiņš;Sandra Schumann;Veiko Vunder;Rauno Põlluäär;Kristjan Laht;Renno Raudmäe;Alvo Aabloo;Karl Kruusamäe
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Abstract

Teaching robotics with the robot operating system (ROS) is valuable for instating good programming practices but requires significant setup steps from the learner. Providing a ready-made ROS learning environment over the web can make robotics more accessible; however, most of the previous remote labs have abstracted the authentic ROS developer environment either for didactical or technological reasons, or do not give the possibility to program physical robots. In this article, we present a remote web lab that employs virtual network computing and Docker to serve in-browser desktop workstations, where learning tasks can be completed on both the physical and simulated robots. The learners can reserve access to the remote lab through a learning management interface, which also includes tools for administering the remote lab. The system allows anyone to experiment with ROS without configuring any software locally and was successfully trialed in an online ROS course.
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开放式远程网络实验室,在真实的开发人员环境中使用实体机器人和模拟机器人学习机器人技术和 ROS
使用机器人操作系统(ROS)教授机器人技术对于培养良好的编程习惯很有价值,但需要学习者进行大量的设置步骤。通过网络提供一个现成的 ROS 学习环境,可以让机器人技术更容易获得;然而,以前的远程实验室大多出于教学或技术原因,对真实的 ROS 开发环境进行了抽象,或者没有提供对物理机器人进行编程的可能性。在本文中,我们介绍了一种远程网络实验室,它采用虚拟网络计算和 Docker,为浏览器内的桌面工作站提供服务,学习者可以在物理机器人和模拟机器人上完成学习任务。学习者可以通过学习管理界面预约访问远程实验室,该界面还包括管理远程实验室的工具。任何人都可以使用该系统进行 ROS 实验,而无需在本地配置任何软件,该系统已在一门在线 ROS 课程中成功试用。
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来源期刊
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS-
CiteScore
7.50
自引率
5.40%
发文量
82
审稿时长
>12 weeks
期刊介绍: The IEEE Transactions on Learning Technologies covers all advances in learning technologies and their applications, including but not limited to the following topics: innovative online learning systems; intelligent tutors; educational games; simulation systems for education and training; collaborative learning tools; learning with mobile devices; wearable devices and interfaces for learning; personalized and adaptive learning systems; tools for formative and summative assessment; tools for learning analytics and educational data mining; ontologies for learning systems; standards and web services that support learning; authoring tools for learning materials; computer support for peer tutoring; learning via computer-mediated inquiry, field, and lab work; social learning techniques; social networks and infrastructures for learning and knowledge sharing; and creation and management of learning objects.
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