Multi-Object Graph Affordance Network: Enabling Goal-Oriented Planning through Learned Compound Object Affordances

The proposed Multi-Object Graph Affordance Network (MOGAN) models the affordances of compound objects composed of an arbitrary number of objects with complex shapes, enabling goal-oriented planning through the learned affordances.