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Graph Neural Network Robotics
Applying graph neural networks (GNNs) to robotics tasks where the domain has natural graph structure: multi-robot coordination (robots as nodes), multi-object manipulation (objects as nodes, relationships as edges), and robot kinematics (links as nodes, joints as edges). GNNs generalize better than MLPs to variable numbers of entities.