Author

Meng-Chao Zhang

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#artificial intelligence Preprint Oct 2026

EgoLAP: Learning from Egocentric Human Data through Language-Action Reasoning

Egocentric human data offer a path to scaling robot learning beyond costly robot demonstrations, yet the embodiment gap makes raw human trajectories a poor supervisory target for control. Our key insight is that, although low-level actions are embodiment-specific, their underlying motion intent can capture task-relevan...

Li-Han Zha, Shresth Grover, Tenny Yin et al. · 0 citations

#machine learning Preprint Oct 2026

SUAVE: Unified Video-Action Models via Masked Diffusion

Vision-language-action models (VLAs) inherit strong semantic grounding from pretrained vision-language backbones but are typically optimized for predicting actions rather than future observations. They can see and act, but they do not imagine the future before acting. World action models (WAMs) built on video diffusion...

Rhythm Syed, Jean-Pierre Mercat, Sedrick Scott Keh et al. · 0 citations