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A Systematic Testing Approach for Autonomous Mobile Robots Using Domain-Specific Languages

机译:使用域的语言进行自主移动机器人的系统测试方法

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One aspect often neglected during the development of autonomous mobile robots is the systematic validation of their overall behavior. Especially large robots applied to real-world scenarios may cause injuries or even human death and must therefore be classified as safety-critical. In this paper, a generic approach to defining and executing purposeful test runs using domain-specific languages (DSLS) is presented. Test cases can be defined in an appropriate test description language (first DSL). These test cases can be derived automatically using a model-based testing approach, for which a test model has to be created. Hence, a second DSL for the creation of the test model is presented. It is further shown how the generated test cases are automatically executed and evaluated. The paper concludes with the application of the approach to the autonomous off-road robot RAVON.
机译:在自主移动机器人的发展期间经常忽略了一个方面是系统验证其整体行为。特别是应用于现实世界情景的大型机器人可能会导致伤害甚至人类死亡,因此必须被归类为安全至关重要。在本文中,呈现了使用域 - 特定语言(DSL)定义和执行目的测试运行的通用方法。可以在适当的测试描述语言(第一个DSL)中定义测试用例。这些测试用例可以自动使用基于模型的测试方法来导出,必须创建测试模型。因此,提出了用于创建测试模型的第二个DSL。进一步示出了如何自动执行和评估生成的测试用例。本文缔结了对自主越野机器人Ravon的应用。

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