SGVF uses score-based generative models to create guiding vector fields from data distributions, enabling reliable robotic path following on complex, unordered, and branching topologies where classical methods fail.
Introduction to flow matching and diffusion models,
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Guiding Vector Field Generation via Score-based Diffusion Model
SGVF uses score-based generative models to create guiding vector fields from data distributions, enabling reliable robotic path following on complex, unordered, and branching topologies where classical methods fail.