Change-Robust Online Topological Memory for Long-Term Relocalization and Semantic Navigation
The system builds a pose-aware topological map using RGB-D keyframes instead of global metrics for navigation. It manages pose uncertainty through Gaussian mixtures and uses sequential hypothesis testing in continuous SE(3) to handle ambiguity. This allows robots to maintain localization and navigate reliably even when the environment's appearance changes significantly.