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.

See this in practice: the Robotics Academy →