CGFM-Nav: Cognitive Graph-Field Memory for Semantic-Guided Lifelong Multimodal Embodied Navigation
CGFM-Nav is introduced, a foundation-model-based framework for lifelong multimodal navigation that integrates task-relevant subgraph selection, VLM reasoning, and verification feedback into a closed decision loop, and preliminary experiments show that CGFM-Nav improves the overall success rate, demonstrating the effectiveness of combining explicit semantic memory with semantic-guided exploration.