This fusion approach enables robotic positioning without relying on global reference information, producing highly precise travel trajectories. To address measurement outliers, this article proposes a two-stage positioning method that combines robust filtering with offline optimization. First, the measurement noise distribution is modeled as a Student’s t-distribution, incorporating variational Bayesian (VB) theory for joint inference of state variables. An innovative method for real-time, dynam