Enforcing SE(2)xR equivariance in learned graph-based control barrier functions improves zero-shot safety and scalability of distributed multi-robot control.
Multi-vehicle collision avoidance via hamilton-jacobi reachability and mixed integer program- ming,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.SY 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
background 1representative citing papers
citing papers explorer
-
Deep Equivariant Multi-Agent Control Barrier Functions
Enforcing SE(2)xR equivariance in learned graph-based control barrier functions improves zero-shot safety and scalability of distributed multi-robot control.