诗篇:可靠的机器人任务规范

C. Menghi, Christos Tsigkanos, T. Berger, Patrizio Pelliccione
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引用次数: 22

摘要

工程可靠的移动机器人软件变得越来越重要。工程移动机器人的核心资产是任务规范-移动机器人应完成的任务的描述。任务规范用于综合、验证、模拟或指导机器人软件的工程。然而,开发精确的任务规范是具有挑战性的,因为工程师需要将需求转换为通常用逻辑语言表示的规范结构——这是一项费力且容易出错的任务。规范模式,作为反复出现的规范问题的解决方案,已经被认为是这个问题的解决方案。每个模式详细说明了使用意图、已知用途、与其他模式的关系,以及最重要的——时态逻辑中的模板任务规范。模式构成可重用的构建块,工程师可以使用它来创建复杂的任务规范,同时减少错误。为此,我们描述了PsALM,一个支持可靠机器人任务开发的工具链。PsALM支持通过规范模式描述任务需求,并允许自动生成任务规范。PsALM产生以LTL和CTL时间逻辑表示的规范,供规划人员、模拟器和模型检查人员使用,支持系统任务设计。样式目录和PsALM可在我们的专门网站www.roboticpatterns.com上获得
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PsALM: Specification of Dependable Robotic Missions
Engineering dependable software for mobile robots is becoming increasingly important. A core asset to engineering mobile robots is the mission specification – a description of the mission that mobile robots shall achieve. Mission specifications are used, among others, to synthesize, verify, simulate or guide the engineering of robot software. However, development of precise mission specifications is challenging, as engineers need to translate requirements into specification structures often expressed in a logical language – a laborious and error-prone task. Specification patterns, as solutions for recurrent specification problems have been recognized as a solution for this problem. Each pattern details the usage intent, known uses, relationships to other patterns, and—most importantly—a template mission specification in temporal logic. Patterns constitute reusable building blocks that can be used by engineers to create complex mission specifications while reducing mistakes. To this end, we describe PsALM, a toolchain supporting the development of dependable robotic missions. PsALM supports the description of mission requirements through specification patterns and allows automatic generation of mission specifications. PsALM produces specifications expressed in LTL and CTL temporal logics to be used by planners, simulators and model checkers, supporting systematic mission design. The pattern catalog and PsALM is available on our dedicated website www.roboticpatterns.com
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