In recent years, formal methods have been extensively used in the design of autonomous
systems. By employing mathematically rigorous techniques, formal methods can provide …

Abstract The term Cyber-Physical Systems (CPS) typically refers to engineered, physical
and biological systems monitored and/or controlled by an embedded computational core …

Toward verified artificial intelligence Page 1 46 COMMUNICATIONS OF THE ACM | JULY
2022 | VOL. 65 | NO. 7 contributed articles ILL US TRA TION B Y PETER CRO W THER A …

This paper describes current work on framing the model predictive control (MPC) of cyber-
physical systems as synthesis from signal temporal logic (STL) specifications. We provide a …

Autonomous vehicle (AV) systems must be comprehensively tested and evaluated before
they can be deployed. High-fidelity simulators such as CARLA or LGSVL allow this to be …

Smart manufacturing (SM) systems utilize run-time data to improve productivity via intelligent
decision-making and analysis mechanisms on both machine and system levels. The …

We present rtamt, an online monitoring library for Signal Temporal Logic (STL) and its
interface-aware variant (IA-STL), providing both discrete-and dense-time interpretation of the …

Autonomous driving systems (ADSs) must be tested thoroughly before they can be deployed
in autonomous vehicles. High-fidelity simulators allow them to be tested against diverse …

Runtime verification is an area of formal methods that studies the dynamic analysis of
execution traces against formal specifications. Typically, the two main activities in runtime …

Reinforcement learning is a promising approach for learning control policies for robot tasks.
However, specifying complex tasks (eg, with multiple objectives and safety constraints) can …