GR00T Pick Orange (LeIsaac Sim2Sim)

This repository contains the complete public LeRobot inference checkpoint for a GR00T N1.7 3B policy fine-tuned on Aikwed/pick_orange_joint_limited.

The policy predicts six SO-101 joint-position actions from the robot state, a wrist RGB camera, a front RGB camera, and the task instruction. It was trained and evaluated for the Pick Orange task in LeIsaac using a simulation-to-simulation (sim2sim) workflow.

Scope and limitations

  • Robot: SO-101 Follower
  • Simulator: LeIsaac / Isaac Sim
  • Task: Pick Orange
  • Evaluation setting: sim2sim
  • Real-robot deployment has not been validated.

The public model.safetensors file contains the model weights. The processor JSON and safetensors files are required for inference with the matching LeRobot version.

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Safetensors
Model size
3B params
Tensor type
F32
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Dataset used to train Aikwed/groot_pick_orange_full