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MOSAIC: Mode- and Support-Aware Inference-Time Control of Robot Diffusion Models
Generative policies such as diffusion models provide expressive data-driven priors for robot behavior, yet the situations a robot faces at execution time rarely match its training data and impose constraints and objectives the policy never learned. Existing inference-time guidance methods either rel
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