Robin Inho Kee

Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation

Control Barrier Functions (CBFs) have become powerful tools for ensuring safety in nonlinear systems. How-ever, finding valid CBFs that guarantee persistent safety and feasibility remains an open challenge, especially in systems with input constraints. Traditional approaches often rely on manually t