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Humanoid loco-manipulation in dynamic scenes is non-Markovian: cues vanish as objects change or are hidden, or leave the view as the robot turns and walks, yet whole-body vision-language-action (VLA) policies see only the present. We present WholeBodyMem, an object-guided perceptual memory that keeps the pre-history of...
This work introduces MessyKitchens, a new dataset with real-world scenes featuring cluttered environments and providing high-fidelity object-level ground truth in terms of 3D object shapes, poses and accurate object contacts, and builds on the recent SAM 3D approach for single-object reconstruction and extends it with...
Key insights are provided for optimizing cross-lingual vision-language alignment of LVLMs and advancing practical multimodal applications in UAV scenarios and differences in language structures: East Asian languages depend on word order for semantic expression, whereas Western languages feature complex lexical morpholo...
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