This placeholder project explores how agents can build stable 3D maps while environments evolve, sensing degrades, or scene geometry changes over time.
Representative directions include geometry-aware learning, map refinement under uncertainty, and adaptive navigation policies that remain effective in dynamic real-world deployments.
This page is a placeholder for future project details, papers, demos, and datasets.