1. Introduction: Deterministic State Estimation in Unstructured Environments The success of autonomous navigation in robotics research depends on how precisely a robot can estimate its state on non-idealized, non-static manifolds. However, real-world environments differ significantly from controlled laboratory settings. Stochastic sensor noise, accumulating drift, and computational latency—which undermines the determinism of real-time control loops—pose formidable…