An Overview of Three Prominent Systems for Graph Neural Network-based Motion Planning

Graph Neural Network (GNN)–based motion planning has emerged as a promising approach in robotic systems for its efficiency in pathfinding and navigation tasks. This approach leverages GNNs to learn the underlying graph structure of an environment, enabling it to make quick and informed decisions about which paths to take. Let’s delve into the detailed specifics […]

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