RTAMT -- Runtime Robustness Monitors with Application to CPS and Robotics
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Abstract (arXiv)
In this paper, we present Real-Time Analog Monitoring Tool (RTAMT), a tool for quantitative monitoring of Signal Temporal Logic (STL) specifications. The library implements a flexible architecture that supports: (1) various environments connected by an Application Programming Interface (API) in Python, (2) various flavors of temporal logic specification and robustness notion such as STL, including an interface-aware variant that distinguishes between input and output variables, and (3) discrete-time and dense-time interpretation of STL with generation of online and offline monitors. We specifically focus on robotics and Cyber-Physical Systems (CPSs) applications, showing how to integrate RTAMT with (1) the Robot Operating System (ROS) and (2) MATLAB/Simulink environments. We evaluate the tool by demonstrating several use scenarios involving service robotic and avionic applications.
Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). First posted on arXiv 22 Jan 2025.
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Citing papers per year: 2025: 2; 2026: 2.
4 papers.
- 2025Interpretable Early Failure Detection via Machine Learning and Trace Checking-based Monitoringcited by 0
- 2025Falsification-driven reinforcement learning for maritime motion planningcited by 0
- 2026Vision-Based Runtime Monitoring under Varying Specifications using Semantic Latent Representationscited by 0
- 2026Reward Machines for Signal Temporal Logiccited by 0
- 2026Reward Machines for Signal Temporal Logic13 Aug 2026
- 2026Vision-Based Runtime Monitoring under Varying Specifications using Semantic Latent Representations13 May 2026
- 2025Falsification-driven reinforcement learning for maritime motion planning8 Oct 2025
- 2025Interpretable Early Failure Detection via Machine Learning and Trace Checking-based Monitoring25 Aug 2025