Author

Ruilin Wang

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Preprint Aug 2026

Zero-WAM: In-Context World-Action Modeling from Human Videos for Open-Ended Task Generalization

This work presents Zero-WAM, a causal video-action model that executes unseen tasks by following in-context human video guidance, and proposes an automatic pipeline that converts task-sampled robot trajectories into semantically matched human videos, yielding HumanGen, a dataset of 74.2K human-robot ICL pairs across 8....

Jia-Min Zhou, Qihang Zhang, Gangwei Xu et al. · 8 citations

Jul 2026

Native Video-Action Pretraining for Generalizable Robot Control

LingBot-VA 2.0 is presented, a video-action foundation model built from the ground up for embodiment, which introduces a semantic visual-action tokenizer, which aligns visual representations with both semantics and actions, improving instruction following and action precision in subsequent policy learning.

Qihang Zhang, Lin Li, Luyao Zhang et al. · arXiv.org · 11 citations · ⚡3