2025
Sequential Gaussian Variational Inference for Nonlinear State Estimation and Its Application in Robot Navigation
RA-L 2025
Probabilistic state estimation is essential for robots navigating uncertain environments. Accurately and efficiently managing uncertainty in estimated states is key to robust robotic operation. However, nonlinearities in robotic platforms pose significant challenges that require advanced estimation