DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos research paper by NVIDIA, 2026
NVIDIA · Feb 6, 2026 · Multimodal and robotics · 117 citations · 37 upvotes · unverified
What it shows
DreamDojo is a foundation world model trained on 44k hours of egocentric human videos that enables efficient simulation of dexterous robotic tasks through continuous latent actions and real-time distillation.
UnverifiedHugging Face's summary; not yet checked by hand.
More from NVIDIA
All 75Other multimodal and robotics papers
TopicAbout this paper
- Authors
- Shenyuan Gao, William Liang, Kaiyuan Zheng and 27 more
- arXiv
- 2602.06949 · PDF
- Venue
- arXiv.org
- Citations
- 117, 14 influential · Semantic Scholar
- Upvotes
- 37 · Hugging Face
- Lab
- NVIDIA · on Companies · on Acquisitions · on Quarterly · on Paydays · on TechConf
Changes
| What changed | |
|---|---|
| Sep 25, 2026 | Influential citationsfirst count: 14Sep 25, 2026 |
| Sep 25, 2026 | Citationsfirst count: 117Sep 25, 2026 |
| Sep 25, 2026 | New paperFound by the weekly scan, unverifiedSep 25, 2026 |
Sources: each lab's own papers and arXiv, with citation and upvote counts from Semantic Scholar and Hugging Face. One-line summaries are for orientation, not a substitute for the paper. Logos via logo.dev; trademarks belong to their owners.