Author

Mengling Wu

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Preprint Sep 2026

One from Infinity: Actualizing Futures from Pretrained World Models into Robot Actions

A pretrained video world model admits many plausible futures for a scene, but a robot must realize the exact task-conditioned one. To turn world models into executable robot policies, existing methods fine-tune the heavy world model backbone using large-scale robot data and computational resources. Challenging this sta...

Bang Du, Yi-Chen Xie, Shu-Qi Zhao et al. · 0 citations

Preprint Jul 2026

CLIFT: Turning Gemini Robotics On-Device into Humanoid Specialists via Non-Invasive Closed-Loop Iterative Fine-Tuning

CLIFT: Closed-Loop Iterative Fine-Tuning is introduced, which turns deployment-time reward feedback into API-compatible supervised data and enables closed-loop policy improvement without accessing weights, gradients, likelihoods, or losses-pushing GROD to near-perfect success after two flywheel cycles, all without open...

Yuxin Chen, H. Srikanth, N. Jew et al. · 0 citations