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The extended ILP to safety-critical navigation in dynamic environments by integrating an anticipatory risk-blended control barrier function (ARB-CBF) is extended, demonstrating superior temporal efficiency and safety with lower computational overhead compared to optimizationbased baselines, making it highly suitable for resourceconstrained platforms.
VIP cuts computational costs in robotic navigation by leveraging continuous function updates, enabling efficient planning even in complex environments.