Premover enables VLA policies to act on partial instructions by precomputing focus maps from intermediate backbone layers, reducing wall-clock time 13.6 percent on LIBERO while preserving 95 percent success rate.
PVI: Plug-in visual injection for vision-language-action models
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DynaFLIP pre-trains dynamics-aware image encoders by aligning image, language, and 3D flow modalities through simplex-volume minimization plus regularizers on video triplets, yielding reusable backbones that improve manipulation policies by up to 22.5% in out-of-distribution settings.
citing papers explorer
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Premover: Fast Vision-Language-Action Control by Acting Before Instructions Are Complete
Premover enables VLA policies to act on partial instructions by precomputing focus maps from intermediate backbone layers, reducing wall-clock time 13.6 percent on LIBERO while preserving 95 percent success rate.
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DynaFLIP: Rethinking Robotics Perception via Tri-Modal-Dynamics Guided Representation
DynaFLIP pre-trains dynamics-aware image encoders by aligning image, language, and 3D flow modalities through simplex-volume minimization plus regularizers on video triplets, yielding reusable backbones that improve manipulation policies by up to 22.5% in out-of-distribution settings.