面向认知功能自主机器人代理计划的形式化验证

Tim Meywerk, Marcel Walter, V. Herdt, Daniel Große, R. Drechsler
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引用次数: 7

摘要

在本文中,我们提出了第一种方法来验证在人类环境中执行日常操作活动的具有认知能力的自主机器人的计划。我们的方法基于新的中间计划验证语言(IPVL),该语言用于在一个联合的形式化模型中表示计划、环境和机器人的信念状态。我们为IPVL设计了一个符号执行引擎,并在一个案例研究中展示了我们整体验证方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Towards Formal Verification of Plans for Cognition-Enabled Autonomous Robotic Agents
In this paper, we propose the first approach for verifying plans of cognition-enabled autonomous robots that perform everyday manipulation activities in human environments. Our methodology is based on the new Intermediate Plan Verification Language (IPVL) which is used to represent plans, environments, and robot belief states in one joint formal model. We devise a symbolic execution engine for IPVL and show the effectiveness of our overall verification methodology in a case study.
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