Multi-Robot ManipulationIntermediate
DuoMind: Enabling Distributed Multi-Robot Coordination with Semantic Communication
In this preprint, the authors introduce DuoMind, a distributed multi-robot framework that pairs per-robot VLM orchestrators with low-level VLA action policies and structured semantic messages. Across two simulation benchmarks, it raises long-horizon success substantially over finetuned single policies, for example 39.25% vs 1.00% on Cook Pot and 78.00% vs 52.25% on Hang Bag. The work matters because it shows multi-robot coordination can be added to off-the-shelf foundation models without centralized control or joint multi-agent training.