AURA: Asymptotically Optimal Uncertainty-Robust Replanning Algorithm for Kinodynamic Systems
AURA is a meta-planner for kinodynamic systems that improves path quality and tracking under motion uncertainty. It combines global replanning with local optimization during runtime to continuously refine trajectories. This framework ensures better performance than traditional planners by handling model mismatches and execution errors robustly.