机器人Papyrus中可组合模型的假设与保证

Jabier Martinez, A. Ruiz, A. Radermacher, Stefano Tonetta
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引用次数: 1

摘要

关注点的分离有助于管理定义机器人组件、系统和任务的内在复杂性。这种关注点分离得到了Rob-MoSys建模方法的支持,该方法解决了机器人领域的建模需求,并确定了所涉及的利益相关者和所需的专业知识。在这种多利益相关者的背景下,人们迫切关注非功能特征,包括安全方面(例如,协作机器人,对人类和机器人系统运行环境的风险增加)。明确地建立非功能性假设和保证是特别重要的。这确保了它们的有效性可以被自动评估,特别是在将系统定义为几个组件定义的组合期间。我们介绍了如何扩展RobMoSys的一个实现,Papyrus for Robotics,用于契约建模和断言验证。值得注意的是,这包括元建模决策,以允许断言语言的可扩展性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assumptions and Guarantees for Composable Models in Papyrus for Robotics
The separation of concerns helps to manage the intrinsic complexity of defining robotics components, systems and missions. This separation of concerns is supported by the Rob-MoSys modelling approach addressing both the modelling needs of the robotics domain and identifying the involved stakeholders and required expertise. In this multi-stakeholder context, there are pressing concerns about non-functional characteristics including safety aspects (e.g., collaborative robots, increasing risks to humans and the environment where robotic systems operate). It is of special interest to explicitly establish the non-functional assumptions and guarantees. This assures that the their validity can be automatically evaluated, in particular during the definition of a system as a composition of several component definitions. We present how we extended one of the RobMoSys implementations, Papyrus for Robotics, for contracts modelling and assertions validation. Notably this includes the meta-modelling decisions to allow extensibility for assertion languages.
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