移动机器人导航算法的通用验收测试策略:在医疗环境中的应用

Martine Herpers, Daniela Schmelz
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引用次数: 0

摘要

支持在非工业环境中工作的移动机器人市场正在增加。移动机器人被销售到数百万家庭,并且达到了推荐它们用于专业环境如电子健康环境的可靠性。今天的机器人可能不是为这种苛刻的领域而设计的,但它们正朝着这个方向发展。对于非技术用户,没有关于他们如何根据环境测试机器人的建议。以前的研究指出了一些可能需要测试的重要领域,但是最后没有提供派生测试用例或场景的具体策略。从文献研究的建议出发,提出了具体的通用测试策略。然后通过将其用于具体场景来评估派生的通用测试策略。我们使用了最可靠的家用机器人之一,iRobot公司的Roomba,用于具有挑战性的医院环境。评估显示,错过关键情况的风险很高,并且通用的测试策略可以通过测试场景的适当定义来指导团队。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Generic Acceptance Test Strategy for Mobile Robots' Navigation Algorithms: Applied in a Health Care Environment
The market for mobile robots supporting the work in non-industrial environments is increasing. Mobile robots are sold to millions of households and reached a reliability recommending them for professional environments as eHealth environments. Robots of today might not be designed for such demanding areas, but they evolve in this direction. For nontechnical users there is no advice available how they can test robots for their environment. Former studies indicated some areas which might be important to be tested, but at the end no concrete strategy to derive test cases or scenarios have been provided. A concrete generic test strategy is developed, starting with the advices derived from a literature study. The derived generic test strategy was then evaluated by using it for a concrete scenario. We used one of the most reliable household robots, the Roomba from iRobot for a challenging hospital environment. The evaluation showed that there is a high risk to miss out critical situations and that a generic test strategy could guide teams through an adequate definition of test scenarios.
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