GR00T N1
NVIDIA
Open foundation model for generalist humanoid robots, focused on whole-body and manipulation behavior from multimodal robot data.
Generalist humanoid task transfer
Pushes OpenBot tags toward embodiment-aware metadata rather than generic video/action labels.
A model hub link is a declaration. Files, loadability, evaluation, and deployment are scored separately.
Model decision scorecard
Use-case scores and evidence confidence are separate; Unknown is not treated as failure.
Code, weights, and checkpoints
UsefulAn official model hub is linked; weight files and loadability are not verified.
Loading and training reproducibility
UnknownNo verified loading configuration is available.
Training data requirements
UsefulRequired signal categories are declared; exact tensor and action interfaces still need verification.
Evaluation evidence
UsefulEvaluation focus is declared, but metrics are not independently verified.
Deployment readiness
UnknownHardware, latency, dependencies, and runtime loading are not yet verified.
Artifact facts and provenance
No metadata-verified artifact facts yet. Source links remain declarations only.
Loop signal demand
Signals this model family needs for training, evaluation, or failure mining.
Observation / ego video
observation · Humanoid or whole-body demonstrations with proprioception, actions, and visual context
Language intent / task phase
language intent · Task-level language or intent metadata · Generalist humanoid task transfer · Failure recovery under long-horizon manipulation tasks
Action / robot state
actions · robot state · Humanoid or whole-body demonstrations with proprioception, actions, and visual context
Future state / dynamics
Needs future-state supervision or rollout structure to validate predictive dynamics.
Feedback / correction / failure
Failure recovery under long-horizon manipulation tasks
Sim-real / embodiment metadata
robot state · sim-real · Sim-real and embodiment metadata for evaluating transfer to physical robots · Embodiment mismatch and sim-real gap
Evaluation focus
- Generalist humanoid task transfer
- Embodiment mismatch and sim-real gap
- Failure recovery under long-horizon manipulation tasks
Missing critical loop signals
Core signal demands are represented. Check quality, alignment, and access constraints.
Related catalog datasets
Xperience-10M
Multimodal human experience for embodied AI
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
Ego-Exo4D
Synchronized first-person and third-person skilled activity
Exact action dimensions, control frequency, normalization, and camera mapping require interface verification.
EgoWorld
Bimanual manipulation in LeRobot format
Dataset license restricts commercial use.
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.