[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
The Humanoid Hub @TheHumanoidHub on x 60.1K followers
Created: 2025-07-16 19:43:04 UTC
A humanoid robot policy trained solely on synthetic data generated by a world model.
Research Scientist Joel Jang presents NVIDIA's DreamGen pipeline:
⦿ Post-train the world model Cosmos-Predict2 with a small set of real teleoperation demos. ⦿ Prompt the world model to generate synthetic video data with verbs and scenarios not used in the world model’s post-training. ⦿ Auto-label synthetic video data with action sequences. ⦿ Train robot policies using only synthetic data.
That's it. Deploy zero-shot to a real humanoid robot.
XXXXXX engagements