LangMap: A Human-Verified Benchmark for Hierarchical Open-Vocabulary Goal Navigation
This work introduces LangMap, a real-world 3D indoor navigation benchmark using human-verified semantic annotations for open-vocabulary goal navigation. It supports four hierarchical goal levels: scene, room, region, and instance. This provides a rigorous testbed for evaluating AI agents' ability to navigate based on complex language instructions.