GR00T N1
NVIDIA
Open foundation model for generalist humanoid robots, focused on whole-body and manipulation behavior from multimodal robot data.
- Code
- Not listed
- Weights
- Available
- Checkpoint
- Available
- License
- Apache-2.0
Decision summary
Generalist humanoid task transfer
Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.
Run a checkpoint loading smoke test before marking the model pipeline-tested.
Release history
Source-backed release timing for this canonical model record.
- Paper
Model series introduced
Release timing is anchored to the cited paper publication date.
Evidence profile
A visual read of adoption evidence. Scores describe catalog evidence readiness, not task performance.
Published evaluation
5/6
dimensions scored
Unknown evidence remains visible and is never treated as a zero.
Why these scores
The strongest decision reasons behind the evidence profile.
Artifact availability
UsefulCheckpoint files were verified in the official repository metadata.
Training and loading reproducibility
UsefulConfiguration files are present; runtime loading is not tested.
Evaluation evidence
UnknownNo structured evaluation evidence has been verified.
Data requirements
Declared loop-data needs, missing evidence, and the next checks that matter.
Observation / ego video
observation
Language intent / task phase
language intent
Action / robot state
actions · robot state
Sim-real / embodiment metadata
robot state · sim-real
Critical gaps
Core categories are represented. Interface alignment and data quality still require verification.
Linked datasets
Signal-level links only. Verify runtime interfaces before use.
More evidenceShowHide
Additional decision dimensions
Access and license are declared by the source.
75 · c85Required signal categories are structured; exact tensor and action interfaces still need verification.
76 · c70Hardware, latency, dependencies, and checkpoint loading are not pipeline-tested.
70 · c55Artifact facts
- release_year
- official_claim
- 2025
- curated official source year
- model.required_signals
- official_claim
- observation · language intent · actions · robot state · sim-real
- Official model documentation and curated signal mapping
- model.hub
- official_claim
- declared
- curated model hub link
- model.weight_files
- metadata_verified
- repository: nvidia/GR00T-N1-2B · count: 1 · sample files: model.safetensors
- Hugging Face model metadata siblings
- model.checkpoint_files
- metadata_verified
- repository: nvidia/GR00T-N1-2B · count: 1 · sample files: model.safetensors
- Hugging Face model metadata checkpoint files
- model.config_files
- metadata_verified
- repository: nvidia/GR00T-N1-2B · count: 1 · sample files: config.json
- Hugging Face model metadata siblings
- release_timing
- metadata_verified
- 2025-03-18T21:06:21.000Z
- arXiv 2503.14734 published
- discovery.source
- secondary_claim
- name: worldbench/awesome-embodied-data-pyramid · trust: discovery_only · revision: 0568599d0619f20946e8089f6a941d0d9e30b690
- #table-embodied-foundation-models-vla-wam, table 17, row 12
- discovery.raw_fields
- secondary_claim
- Time: 2025.3 · Method: GR00T N1 · Institution: NVIDIA · Project: [](https://github.com/NVIDIA/Isaac-GR00T) · Model: VLA · Data: ![Real][data-real] ![Ego][data-ego] ![Sim][data-sim]
- #table-embodied-foundation-models-vla-wam, table 17, row 12
- model.reported_release_time
- secondary_claim
- 2025.3
- #table-embodied-foundation-models-vla-wam, table 17, row 12
- model.type
- secondary_claim
- VLA
- #table-embodied-foundation-models-vla-wam, table 17, row 12
- model.training_data_layers
- secondary_claim
- real_robot · ego_exo · simulation
- #table-embodied-foundation-models-vla-wam, table 17, row 12
- model.institution
- secondary_claim
- NVIDIA
- #table-embodied-foundation-models-vla-wam, table 17, row 12
- catalog.curation
- secondary_claim
- tier: editorial_focus · collection: WorldBench Awesome Embodied Data Pyramid · policy: human_curated_priority
- #table-embodied-foundation-models-vla-wam, table 17, row 12
Additional references
OpenBot notes
- Pushes OpenBot tags toward embodiment-aware metadata rather than generic video/action labels.
- Good example of why model pages should link public weights when available.