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#artificial intelligence Preprint Aug 2026

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.

Yu-Xiang Xiao, Xibei Chen, Xin Zhou et al. · 0 citations
Jul 2026

D-VLC: Decentralized Vision-Language Collaboration for Heterogeneous Embodied Multi-Robot Systems in Unknown Environments

A framework that combines decentralized asynchronous reasoning, lightweight information sharing, capability aware collaboration, and a unified action interface is proposed, enabling general purpose VLMs to generate robot specific actions executed by learning free experts without task or robot specific training.

Yuan Zhou, Ruitong Lin, Shen Wang et al. · 1 citation

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