yqi19cc-by-nc-4.0

GR00T-N1.7 UR5 Real-World Finetuned Checkpoints

Two task-specific finetuned checkpoints of NVIDIA's GR00T-N1.7-3B model on real UR5 robot data for bread and cube grasping tasks, with training artifacts removed and inference-ready weights.

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Why This Matters for Physical AI

Provides real-world finetuned vision-language-action models for robotic manipulation that demonstrate practical deployment of foundation models on physical hardware with minimal training data.

Technical Profile

Modalities
rgbproprioception
Robot Embodiments
UR5
Action Space
end_effector_delta
Environment
lab
Task Types
graspingmanipulation
Data Format
safetensors
License
cc-by-nc-4.0
Part of the Isaac-GR00T family

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