47 citations · 262 across the 38 of their papers we have counts for
5 papers · 1 filter
Learning Robust Output Control Barrier Functions from Safe Expert Demonstrations
Lars Lindemann, Alexander Robey, Lejun Jiang +3
This paper addresses learning safe output feedback control laws from partial observations of expert demonstrations. We assume that a model of the system dynamics and a state estima…
Adversarial Robustness with Semi-Infinite Constrained Learning
Alexander Robey, Luiz F. O. Chamon, George J. Pappas +2
Despite strong performance in numerous applications, the fragility of deep learning to input perturbations has raised serious questions about its use in safety-critical domains. Wh…
Model-Based Domain Generalization
Alexander Robey, George J. Pappas, Hamed Hassani
Despite remarkable success in a variety of applications, it is well-known that deep learning can fail catastrophically when presented with out-of-distribution data. Toward addressi…
On the Sample Complexity of Stability Constrained Imitation Learning
Stephen Tu, Alexander Robey, Tingnan Zhang +1
We study the following question in the context of imitation learning for continuous control: how are the underlying stability properties of an expert policy reflected in the sample…
Learning Robust Hybrid Control Barrier Functions for Uncertain Systems
Alexander Robey, Lars Lindemann, Stephen Tu +1
The need for robust control laws is especially important in safety-critical applications. We propose robust hybrid control barrier functions as a means to synthesize control laws t…