A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies
Jan Blumenkamp,Steven Morad,Jennifer Gielis,Qingbiao Li,Amanda Prorok,Jan Blumenkamp,Steven Morad,Jennifer Gielis,Qingbiao Li,Amanda Prorok
Graph Neural Networks (GNNs) are a paradigm-shifting neural architecture to facilitate the learning of complex multi-agent behaviors. Recent work has demonstrated remarkable performance in tasks such as flocking, multi-agent path planning and cooperative coverage. However, the policies derived through GNN-based learning schemes have not yet been deployed to the real-world on physical multi-robot s...
