# 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.