论文标题
软件测试，AI和机器人技术（楼梯）学习实验室
Software Testing, AI and Robotics (STAIR) Learning Lab
论文作者
论文摘要
在本文中，我们介绍了软件测试，AI和机器人技术（楼梯）学习实验室。楼梯是在因斯布鲁克大学（University of Innsbruck）启动的，将机器人，人工智能（AI）和软件测试带入学校。在实验室中，物理和虚拟学习单元是并行开发的，并且相互同步。它的核心学习方法是基于物理和模拟机器人技术环境的发展。在两个环境中，AI方案（例如流量标志识别）都将部署和测试。我们介绍并专注于新设计的小型纤维，这些小型纤维都建立在用于教育和研究目的以及模拟环境的硬件上。此外，我们描述了第一个学习设计概念和展示场景（即基于AI的交通符号识别），并具有不同的练习，可以轻松扩展。
In this paper we presented the Software Testing, AI and Robotics (STAIR) Learning Lab. STAIR is an initiative started at the University of Innsbruck to bring robotics, Artificial Intelligence (AI) and software testing into schools. In the lab physical and virtual learning units are developed in parallel and in sync with each other. Its core learning approach is based the develop of both a physical and simulated robotics environment. In both environments AI scenarios (like traffic sign recognition) are deployed and tested. We present and focus on our newly designed MiniBot that are both built on hardware which was designed for educational and research purposes as well as the simulation environment. Additionally, we describe first learning design concepts and a showcase scenario (i.e., AI-based traffic sign recognition) with different exercises which can easily be extended.
