Cosmos3-H-Embodied-Nano: Surgical World Model
Overview
NVIDIA has released Cosmos3-H-Embodied-Nano, a multimodal model trained on surgical robotics data for forward dynamics, inverse dynamics, and policy prediction. It is based on the Cosmos3-Nano model and is intended for use in surgical world modeling and imitation learning.
From NVIDIA — Robotics model repository updates
Event evidence and corrections
1 attributed source owners. Ownership does not establish independent confirmation. Quantities are reported separately and are never added together.
Reported quantity · dataset families: 15 other · Basis not reported
“e actions and video from a frame, text and action history (for example through the HTTP policy server), or (b) fine-tuning it on their own LeRobot-format data, on a single mode or on all three. Training, Testing, and Evaluation Datasets Initialization: NVIDIA-pretrained Cosmos3-Nano world foundation model. Post-training data: Open-H-Embodiment community-generated surgical robotics dataset. Mixture: 15 dataset familie”
Exact source · revision 2nvidia
Evidence dependency changes (2)
- 2026-10-30T22:03:47.671Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
- 2026-10-30T22:03:38.815Z · evidence updated · source revision 2. Evidence extraction was updated; current source attributions are shown above.
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- NVIDIA — Robotics model repository updatesSignalNVIDIA Releases Cosmos3-H-Embodied-Nano for Surgical Robotics
NVIDIA has released Cosmos3-H-Embodied-Nano, a multimodal model trained on surgical robotics data for forward dynamics, inverse dynamics, and policy prediction. It is based on the Cosmos3-Nano model and is intended for use in surgical world modeling and imitation learning.
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