Skip to content

Author

Jiaxu Wang

We have 2 of 40 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

AR-WAM: A Visual-Conditioned Agent-Ready World Action Model for Robotic Manipulation

AR-WAM is presented, a visual-conditioned, agent-ready world action model that replaces language with two complementary conditions: a visual grounding prompt and a learnable operation token dictating the atomic skill to execute, predicting scene evolution within compact latent states while decoding actions.

Yi-Cheng Jiang, Ze-Sen Gan, Xiao-Bo Wang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.