OpenSpace Lab Solution to the IROS 2026 Indoor Exploration Competition
OpenSpace Lab developed time-aware exploration frameworks for single and multi-robot systems to solve an indoor information gathering competition. The solution integrates pre-trained map completion with utility-driven coordination, achieving a 61.04% coverage rate on public maps and securing top rankings in both tracks.