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.