arXiv:2606.12022v1 Announce Type: cross Abstract: Runtime enforcement has emerged as a promising approach for ensuring the safety of autonomous and cyber-physical systems operating in uncertain and dynamic environments. Unlike traditional runtime verification, runtime enforcement actively intervenes during execution to prevent property violations by modifying unsafe system behaviors. Existing enforcement frameworks primarily focus on untimed or discrete-time specifications and are often limited to delaying or suppressing events, making them inadequate for reactive systems exhibiting complex co
The increasing complexity and autonomy of cyber-physical systems necessitate more robust runtime safety mechanisms as these systems are deployed in real-world, uncertain environments.
Ensuring the reliable and safe operation of autonomous and cyber-physical systems is critical for their widespread adoption and to prevent catastrophic failures in sensitive applications.
The development of runtime enforcement for hybrid systems marks a step beyond traditional verification, allowing active intervention to prevent safety violations in complex, real-time autonomous systems.
- · AI developers (cyber-physical systems)
- · Aerospace and Defense
- · Autonomous vehicle manufacturers
- · Critical infrastructure operators
- · Systems with inadequate safety protocols
- · Manual oversight in complex domains
Increased safety and reliability of autonomous systems operating in dynamic environments.
Accelerated deployment of AI-driven cyber-physical systems into critical sectors due to enhanced trustworthiness.
New regulatory frameworks and certification processes for AI systems built with sophisticated runtime enforcement capabilities.
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Read at arXiv cs.AI