AC-ROS: assurance case driven adaptation for the robot operating system

AC-ROS: assurance case driven adaptation for the robot operating system

연구 분야: Verification

학회: MODELS '20: Proceedings of the 23rd ACM/IEEE International Conference on Model Driven Engineering Languages and Systems

Cyber-physical systems that implement self-adaptive behavior, such as autonomous robots, need to ensure that requirements remain satisfied across run-time adaptations. The Robot Operating System (ROS), a middleware infrastructure for robotic systems, is widely used in both research and industrial applications. However, ROS itself does not assure self-adaptive behavior. This paper introduces AC-ROS, which fills this gap by using assurance case models at run time to manage the self-adaptive operation of ROS-based systems. Assurance cases provide structured arguments that a system satisfies requirements and can be specified graphically with Goal Structuring Notation (GSN) models. AC-ROS uses GSN models to instantiate a ROS-based MAPE-K framework, which in turn uses these models at run time to assure system behavior adheres to requirements across adaptations. For this study, AC-ROS is implemented and tested on EvoRally, a 1:5-scale autonomous vehicle.