TL;DR of the paper, generated automatically.

A robot hand policy that learns foresight, then runs on RGB alone.

• Method: frozen world model guides policy, no depth at runtime.
• Sim: 11 DexJoCo tasks, success up from 49.4% to 60.5%.
• Real robot: three tasks, 58.3% success, strongest baseline 50.0%.