AIBullisharXiv – CS AI · Mar 46/103
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MA-CoNav: A Master-Slave Multi-Agent Framework with Hierarchical Collaboration and Dual-Level Reflection for Long-Horizon Embodied VLN
Researchers propose MA-CoNav, a multi-agent collaborative framework for robot navigation that uses a Master-Slave architecture to distribute cognitive tasks among specialized agents. The system outperforms existing Vision-Language Navigation methods by decoupling perception, planning, execution, and memory functions across different AI agents with hierarchical collaboration.