Abstract: This letter presents a semi-parametric approach for learning safe data-driven control barrier functions (SDD-CBFs) for unknown continuous systems from noisy data. By leveraging optimization ...

Abstract: Control barrier functions have become an increasingly popular framework for safe real-time control. In this work, we present a computationally low-cost framework for synthesizing barrier ...