SEAIRONov 21, 2024

ROSMonitoring 2.0: Extending ROS Runtime Verification to Services and Ordered Topics

arXiv:2411.14367v12 citationsh-index: 3FMAS@iFM
Originality Synthesis-oriented
AI Analysis

This work addresses runtime verification for robotic systems, particularly in ROS environments, but appears incremental as it extends an existing framework.

The paper tackles the challenge of formal verification in robotic applications by introducing ROSMonitoring 2.0, an extension that monitors topics and services with message order consideration, resulting in improved real-time support, security, scalability, and interoperability as demonstrated in a fire-fighting UAV case study.

Formal verification of robotic applications presents challenges due to their hybrid nature and distributed architecture. This paper introduces ROSMonitoring 2.0, an extension of ROSMonitoring designed to facilitate the monitoring of both topics and services while considering the order in which messages are published and received. The framework has been enhanced to support these novel features for ROS1 -- and partially ROS2 environments -- offering improved real-time support, security, scalability, and interoperability. We discuss the modifications made to accommodate these advancements and present results obtained from a case study involving the runtime monitoring of specific components of a fire-fighting Uncrewed Aerial Vehicle (UAV).

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

Your Notes