الباحثون

Zishang Xiang

المنشورات 2

نسخة أولية وصول مفتوح

ACG-WAM: World-Action Modeling via Action-Conditioned Geometric Latent Prediction

Jiangtao Liu, Zishang Xiang, Yage He وآخرون · 2026

World action models jointly learn visual predictionand robot actions, providing a way to use observations ofscene evolution for policy learning. Their video and actionlosses, however, provide no explicit target for the geometricconsequences of a demonstrated action sequence. Moreover,visual features taken after tempora …

نسخة أولية وصول مفتوح

DeltaWAM: Delta World Action Models for Bimanual Manipulation

Han Yan, Zishang Xiang, Haokai Jiang وآخرون · 2026

World-action models (WAMs) transfer visual and motion priors from pretrained video generators to robot control by jointly modeling visual dynamics and actions. Existing WAMs, however, predict dense future frames during training, repeatedly modeling largely unchanged content and coupling action-conditioned dynamics to n …

المؤلفون المشاركون