软件测试,人工智能和机器人(STAIR)学习实验室

Simon Haller-Seeber, Thomas Gatterer, P. Hofmann, Christopher Kelter, T. Auer, M. Felderer
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摘要

. 在本文中,我们介绍了软件测试,人工智能和机器人(STAIR)学习实验室。STAIR是因斯布鲁克大学发起的一项倡议,旨在将机器人、人工智能(AI)和软件测试引入学校。在实验室中,物理学习单元和虚拟学习单元是并行和同步开发的。它的核心学习方法是基于物理和模拟机器人环境的开发。在这两种环境中都部署和测试了人工智能场景(如交通标志识别)。我们介绍并专注于我们新设计的MiniBot,它们都是基于硬件设计的,用于教育和研究目的以及模拟环境。此外,我们描述了第一个学习设计概念和一个展示场景(即基于人工智能的交通标志识别),其中有不同的练习,可以很容易地扩展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Software Testing, AI and Robotics (STAIR) Learning Lab
. 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.
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