A distributionally robust safety filter reduces certification for nonlinear systems under arbitrary uncertainties to a one-dimensional switching-time search with Wasserstein-inflated sampling guarantees.
The safety filter: A unified view of safety-critical control in autonomous systems
5 Pith papers cite this work. Polarity classification is still indexing.
5
Pith papers citing it
representative citing papers
A horizon-agnostic neural operator paired with a boundary control barrier function creates a real-time safety filter that raises safe trajectory rates by up to 22% on fluid manipulation tasks in simulation.
High-order matrix control barrier functions provide well-posed and feasible constraints for enforcing matrix-valued safety in high-order dynamical systems.
Conic-TinyMPC adds second-order cone support and code generation to TinyMPC, delivering up to 142.7x speedup on embedded QP and SOCP problems for model-predictive control.
A hybrid navigation system uses offline HJ reachability computations as heuristics and safety constraints within graph search to achieve faster and safer robot movement in complex indoor environments.
citing papers explorer
-
Distributionally Robust Safety Under Arbitrary Uncertainties: A Safety Filtering Approach
A distributionally robust safety filter reduces certification for nonlinear systems under arbitrary uncertainties to a one-dimensional switching-time search with Wasserstein-inflated sampling guarantees.
-
Online Safety Filter for Deformable Object Manipulation with Horizon Agnostic Neural Operators
A horizon-agnostic neural operator paired with a boundary control barrier function creates a real-time safety filter that raises safe trajectory rates by up to 22% on fluid manipulation tasks in simulation.
-
High-Order Matrix Control Barrier Functions: Well-Posedness and Feasibility via Matrix Relative Degree
High-order matrix control barrier functions provide well-posed and feasible constraints for enforcing matrix-valued safety in high-order dynamical systems.
-
Code Generation and Conic Constraints for Model-Predictive Control on Microcontrollers with Conic-TinyMPC
Conic-TinyMPC adds second-order cone support and code generation to TinyMPC, delivering up to 142.7x speedup on embedded QP and SOCP problems for model-predictive control.
-
A Hamilton-Jacobi Reachability-Guided Search Framework for Efficient and Safe Indoor Planar Robot Navigation
A hybrid navigation system uses offline HJ reachability computations as heuristics and safety constraints within graph search to achieve faster and safer robot movement in complex indoor environments.