A new collaborative safety framework for multi-agent systems uses control barrier functions and Hamilton's rule to let agents trade off their own safety for higher-priority neighbors.
High-order barrier functions: Robustness, safety, and performance-critical control
3 Pith papers cite this work. Polarity classification is still indexing.
3
Pith papers citing it
verdicts
UNVERDICTED 3representative citing papers
Robust time-varying control barrier functions are derived that guarantee safety for all sector-bounded input nonlinearities via pointwise quadratic constraints and an SOCP safety filter, demonstrated on spacecraft docking.
An online learning-enhanced high-order adaptive CBF with Neural ODEs maintains safety for a 38g nano quadrotor against 18km/h wind by adapting to time-varying perturbations on the fly.
citing papers explorer
-
Collaborative Altruistic Safety in Coupled Multi-Agent Systems
A new collaborative safety framework for multi-agent systems uses control barrier functions and Hamilton's rule to let agents trade off their own safety for higher-priority neighbors.
-
Robust Time-Varying Control Barrier Functions with Sector-Bounded Nonlinearities
Robust time-varying control barrier functions are derived that guarantee safety for all sector-bounded input nonlinearities via pointwise quadratic constraints and an SOCP safety filter, demonstrated on spacecraft docking.
-
Online Learning-Enhanced High Order Adaptive Safety Control
An online learning-enhanced high-order adaptive CBF with Neural ODEs maintains safety for a 38g nano quadrotor against 18km/h wind by adapting to time-varying perturbations on the fly.