MAVLN Framework for Systematic Multi-Agent Navigation
October 6, 2026
The MAVLN framework formalizes multi-agent vision-and-language navigation as a constrained coordination problem involving presence locks and holding chains. It includes a dataset of 11,724 episodes across 145 scenes to train agents in collaborative task execution.
HOW THIS AFFECTS YOU
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builderYou can leverage this framework to move from single-agent to multi-robot collaborative intelligence.
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researcherThis provides a formal way to study coordination constraints in multi-agent robotic systems.