Author

A. Onol

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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

A single SUAVE model predicts long-horizon video and acts as a policy, competitive with dedicated world models and specialized action policies on static and dynamic manipulation tasks and shows that masked diffusion is a practical and versatile foundation for unified video-action modeling.

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