Two papers accepted at ICRA 2025

Our paper “Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation” and “Maintaining Strong r-Robustness in Reconfigurable Multi-Robot Networks using Control Barrier Functions” have been accepted to IEEE ICRA 2025!

Related Papers

Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation
Learning to Refine Input Constrained Control Barrier Functions via Uncertainty-Aware Online Parameter Adaptation
Taekyung Kim Robin Inho Kee Dimitra Panagou

IEEE ICRA 2025

project page / video / code / arxiv /
Maintaining Strong r-Robustness in Reconfigurable Multi-Robot Networks using Control Barrier Functions
Maintaining Strong r-Robustness in Reconfigurable Multi-Robot Networks using Control Barrier Functions
Haejoon Lee Dimitra Panagou

IEEE ICRA 2025

pdf / video / code / arxiv /