Jim Fan Open-Sources DreamDojo: World Models That Predict Real-World Robot Success Without Physical Testing

NVIDIA Research·medium signal

Jim Fan's NVIDIA GEAR lab open-sourced DreamDojo — weights, code, post-training dataset, and evaluation set — built on NVIDIA Cosmos. DreamDojo's predicted success rates strongly correlate with real-world results, accurate enough to rank robot training checkpoints without burning a single motor. It achieved +17% real-world success on a fruit packing task. Fan frames 2026 as 'the year of World Models for physical AI.'