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Check out the documentation for more information.

ACT Model for Dice Manipulation with Bounding Box Data

This model was trained on the so100_dice_red_v2 dataset with enhanced state vectors that incorporate bounding box information from PaLI-Gemma object detection.

Training Details

  • Base dataset: so100_dice_red_v2
  • State vectors: Modified to include subtle guidance based on dice position
  • Training steps: 50,000
  • Final loss: 0.046

Usage

This model can be used with the LeRobot framework for picking up dice with improved accuracy.

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