Simulation-Based Debugging of Formal Environment Models*

Tim Meywerk, Arthur Niedzwiecki, V. Herdt, R. Drechsler
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Abstract

Logic-based formal models of robot environments are often used to aid the generation and verification of robotic plans. They are however often simplified and rather abstract compared to the real world that the robot acts in. This can lead to considerable discrepancies between the behavior of the formal model and that of physics-based simulation engines. These discrepancies are not always apparent to the designer. In this paper we propose a new methodology to make these discrepancies explicit by combining formal verification and simulation. Our approach is able to find relevant discrepancies, while only requiring a small number of simulations.
基于仿真的正式环境模型调试*
机器人环境的基于逻辑的形式化模型通常用于帮助机器人计划的生成和验证。然而,与机器人所处的现实世界相比,它们往往是简化的,相当抽象的。这可能导致形式化模型的行为与基于物理的模拟引擎的行为之间存在相当大的差异。这些差异对设计师来说并不总是显而易见的。在本文中,我们提出了一种结合形式验证和模拟的新方法来明确这些差异。我们的方法能够找到相关的差异,而只需要少量的模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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