80 citations · 102 across the 18 of their papers we have counts for
16 papers · 1 filter
Vector Field Following for Quadrotors via Reduced Attitude Representations with Applications to Safety-Critical Control
Mohammad Mirtaba, Max H. Cohen
Vector field tracking for quadrotors provides a systematic framework for specifying complex behaviors at the translational level and transferring them to the full vehicle dynamics.…
Safety Filtering with an Infinite Number of Constraints
Max H. Cohen, Pio Ong, Pol Mestres +1
Control barrier functions (CBFs) provide a rigorous framework for designing controllers enforcing safety constraints. While CBF theory is well-developed for a finite number of safe…
High Order Tuners for Adaptive Safety of Robotic Systems
Mohammad Mirtaba, Max H. Cohen
The combination of control barrier functions (CBFs) and adaptive control -- a framework referred to as adaptive safety -- has proven to be a powerful paradigm for safety-critical c…
Feasibility and Explicit Safety Filters for Control Barrier Functions in Linear Systems
Shima Sadat Mousavi, Max H. Cohen, Pol Mestres +1
Safety filters based on control barrier functions (CBFs) and high-order control barrier functions (HOCBFs) are commonly implemented through quadratic programs (QPs), which may beco…
Input-to-State Safe Backstepping: Robust Safety-Critical Control with Unmatched Uncertainties
Max H. Cohen, Pio Ong, Aaron D. Ames
Guaranteeing safety in the presence of unmatched disturbances -- uncertainties that cannot be directly canceled by the control input -- remains a key challenge in nonlinear control…
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…
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…
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…
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…
Learning for Layered Safety-Critical Control with Predictive Control Barrier Functions
William D. Compton, Max H. Cohen, Aaron D. Ames
Safety filters leveraging control barrier functions (CBFs) are highly effective for enforcing safe behavior on complex systems. It is often easier to synthesize CBFs for a Reduced…
Rectified Control Barrier Functions for High-Order Safety Constraints
Pio Ong, Max H. Cohen, Tamas G. Molnar +1
This paper presents a novel approach for synthesizing control barrier functions (CBFs) from high relative degree safety constraints: Rectified CBFs (ReCBFs). We begin by discussing…
Safety-Critical Controller Synthesis with Reduced-Order Models
Max H. Cohen, Noel Csomay-Shanklin, William D. Compton +2
Reduced-order models (ROMs) provide lower dimensional representations of complex systems, capturing their salient features while simplifying control design. Building on previous wo…
A Contract Theory for Layered Control Architectures
Manuel Mazo, Will Compton, Max H. Cohen +1
Autonomous systems typically leverage layered control architectures with a combination of discrete and continuous models operating at different timescales. As a result, layered sys…
Constructive Safety-Critical Control: Synthesizing Control Barrier Functions for Partially Feedback Linearizable Systems
Max H. Cohen, Ryan K. Cosner, Aaron D. Ames
Certifying the safety of nonlinear systems, through the lens of set invariance and control barrier functions (CBFs), offers a powerful method for controller synthesis, provided a C…
Safety-Critical Control for Autonomous Systems: Control Barrier Functions via Reduced-Order Models
Max H. Cohen, Tamas G. Molnar, Aaron D. Ames
Modern autonomous systems, such as flying, legged, and wheeled robots, are generally characterized by high-dimensional nonlinear dynamics, which presents challenges for model-based…
Characterizing Smooth Safety Filters via the Implicit Function Theorem
Max H. Cohen, Pio Ong, Gilbert Bahati +1
Optimization-based safety filters, such as control barrier function (CBF) based quadratic programs (QPs), have demonstrated success in controlling autonomous systems to achieve com…