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20232026
most citedSafety-Critical Control for Autonomous Systems: Control Barrier Functions via Reduced-Order Models

80 citations · 102 across the 18 of their papers we have counts for

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5 papers · 1 filter

eess.SY2025

Compatibility of Multiple Control Barrier Functions for Constrained Nonlinear Systems

Max H. Cohen, Eugene Lavretsky, Aaron D. Ames

Control barrier functions (CBFs) are a powerful tool for the constrained control of nonlinear systems; however, the majority of results in the literature focus on systems subject t…

eess.SY2025

A Layered Control Perspective on Legged Locomotion: Embedding Reduced Order Models via Hybrid Zero Dynamics

Sergio A. Esteban, Max H. Cohen, Adrian B. Ghansah +1

Reduced-order models (ROMs) provide a powerful means of synthesizing dynamic walking gaits on legged robots. Yet this approach lacks the formal guarantees enjoyed by methods that u…

math.DS2025

Activated Backstepping with Control Barrier Functions for the Safe Navigation of Automated Vehicles

Laszlo Gacsi, Max H. Cohen, Tamas G. Molnar

This paper introduces a novel safety-critical control method through the synthesis of control barrier functions (CBFs) for systems with high-relative-degree safety constraints. By…

eess.SY2025

On the Properties of Optimal-Decay Control Barrier Functions

Pio Ong, Max H. Cohen, Tamas G. Molnar +1

Control barrier functions provide a powerful means for synthesizing safety filters that ensure safety framed as forward set invariance. Key to CBFs' effectiveness is the simple ine…

eess.SY2025

Control Barrier Function Synthesis for Nonlinear Systems with Dual Relative Degree

Gilbert Bahati, Ryan K. Cosner, Max H. Cohen +2

Control barrier functions (CBFs) are a powerful tool for synthesizing safe control actions; however, constructing CBFs remains difficult for general nonlinear systems. In this work…