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.
Exponential control barrier functions for enforcing high relative-degree safety-critical constraints
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
The paper presents an exact-time safety recovery method for control-affine systems via time-varying CBFs with optimal barrier tracking that forces the barrier to follow a prescribed recovery trajectory.
citing papers explorer
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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.
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Exact-Time Safety Recovery using Time-Varying Control Barrier Functions with Optimal Barrier Tracking
The paper presents an exact-time safety recovery method for control-affine systems via time-varying CBFs with optimal barrier tracking that forces the barrier to follow a prescribed recovery trajectory.