12 citations · 21 across the 8 of their papers we have counts for
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cs.AI2026
Self-Improving Video-to-Action Models
Hyunwoo Ryu, Eric Ming Chen, Max Wilcoxson +1
Video generative models are an emerging tool for embodied agents: they can serve as scalable visual planners, generating videos that depict how to complete previously unseen tasks.…
cs.RO2026
Visual Cue Guided Video Planning for Generalizable Robot Navigation
Hojin Lee, Sizhe Lester Li, Maximilian Hilger +4
Generative video models can serve as a promising backbone for robot navigation by predicting future observations as video plans. Recent approaches often condition video planning on…