Functional Safety

Functional safety focuses on ensuring the safe operation of systems, particularly those with safety-critical applications like autonomous vehicles and robotics. Current research emphasizes developing robust safety frameworks and algorithms, including control barrier functions, behavior trees, and various machine learning approaches (e.g., reinforcement learning, deep learning) to detect and mitigate hazards, handle functional insufficiencies, and verify system performance against safety constraints. This field is crucial for enabling the safe deployment of increasingly complex AI-powered systems across diverse sectors, impacting both technological advancement and public safety.