Recompose and Refine Latent Reasoning Flows for Vision-Language-Action Models
Latent reasoning enables vision-language-action (VLA) models to transform multimodal observations into task-relevant internal states before generating continuous robot actions. While existing methods learn to generate or refine such states for each policy query, they discard successful reasoning after execution and the...
Hong-Yu Shi, Sen Zhao, Zuyu Zhang et al.
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