| # 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. | |