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A proof-of-concept implementation of a guiding vector field paired with control-as-inference methodologies for following occluded paths with uncertain localization.

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This is a proof-of-concept for a Guiding Vector Field on belief space, under a generalized Riemannian Manifold workspace. We represent the vector field by the Wasserstein gradient descent flows of variational free energy, using both a localization and path-following prior to prioritize avoiding occluded areas of the workspace. The goal of this vector field is to bridge the theories of guiding vector fields with control-as-inference.

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A proof-of-concept implementation of a guiding vector field paired with control-as-inference methodologies for following occluded paths with uncertain localization.

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