RALLY couples a two-stage LLM consensus module with a QMIX-style role-assignment network and reports higher reward and better generalization than three baselines in drone-swarm coverage simulations.
Outdoor flocking and formation flight with autonomous aerial robots,
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RALLY: Role-Adaptive LLM-Driven Yoked Navigation for Agentic UAV Swarms
RALLY couples a two-stage LLM consensus module with a QMIX-style role-assignment network and reports higher reward and better generalization than three baselines in drone-swarm coverage simulations.