基于合同的机器人任务规范

Piergiuseppe Mallozzi, P. Nuzzo, Patrizio Pelliccione, G. Schneider
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引用次数: 5

摘要

我们从任务需求的非正式描述开始,用具有精确语义的逻辑语言自动构建正式的机器人任务规范。我们提出了CROME(基于合同的机器人任务规范),这是一个框架,允许使用规范模式根据目标捕获任务需求,并自动构建符合需求的线性时间逻辑任务规范。CROME利用了一种新的形式化模型,称为基于契约的目标图(Contract-based Goal Graph, CGG),它支持用严格的组合语义以模块化的方式组织需求。通过依赖CGG,它可以自动地:i)检查整个任务的可行性,ii)从预定义目标库中进一步完善它,以及iii)在规范可实现时,在不同的抽象级别合成实现任务不同部分的多个控制器。如果整个任务无法实现,CROME确定任务方案,即可以实现的次级任务。我们通过案例研究说明了我们的方法和支持工具的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CROME: Contract-Based Robotic Mission Specification
We address the problem of automatically constructing a formal robotic mission specification in a logic language with precise semantics starting from an informal description of the mission requirements. We present CROME (Contract-based RObotic Mission spEcification), a framework that allows capturing mission requirements in terms of goals by using specification patterns, and automatically building linear temporal logic mission specifications conforming with the requirements. CROME leverages a new formal model, termed Contract-based Goal Graph (CGG), which enables organizing the requirements in a modular way with a rigorous compositional semantics. By relying on the CGG, it is then possible to automatically: i) check the feasibility of the overall mission, ii) further refine it from a library of pre-defined goals, and iii) synthesize multiple controllers that implement different parts of the mission at different abstraction levels, when the specification is realizable. If the overall mission is not realizable, CROME identifies mission scenarios, i.e., sub-missions that can be realizable. We illustrate the effectiveness of our methodology and supporting tool on a case study.
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