Parent State ID: 288
State Depth: 30
Action Taken: grasp(left_hand, shot2)
Action Reasoning: To progress towards the goal state, we need to create cocktail2 in shot2. The first step is to fill shot2 with ingredient1. This requires grasping shot2 with one hand, and since both hands are empty, we can proceed with this action.
State Description: - Shot1: contains cocktail1, used, not clean, on the table.- Shot2: clean, empty, held by left hand.- Shot3: clean, empty, on the table.- Shaker1: on the table, empty, used, unshaken, at fill level l1.- Dispenser1: contains ingredient1.- Dispenser2: contains ingredient2.- Left hand: holding shot2.- Right hand: empty.
Action Path: ['grasp(left_hand, shot1)', 'fill-shot(shot1, ingredient1, left_hand, right_hand, dispenser1)', 'grasp(right_hand, shot2)', 'leave(left_hand, shot1)', 'fill-shot(shot2, ingredient2, right_hand, left_hand, dispenser2)', 'pour-shot-to-clean-shaker(shot2, ingredient2, shaker1, right_hand, l0, l1)', 'grasp(left_hand, shot1)', 'pour-shot-to-used-shaker(shot1, ingredient1, shaker1, left_hand, l1, l2)', 'leave(left_hand, shot1)', 'grasp(left_hand, shaker1)', 'shake(cocktail1, ingredient1, ingredient2, shaker1, left_hand, right_hand)', 'grasp(right_hand, shot1)', 'leave(left_hand, shaker1)', 'grasp(left_hand, shaker1)', 'leave(right_hand, shot1)', 'grasp(right_hand, shot1)', 'leave(left_hand, shaker1)', 'clean-shot(shot1, cocktail1, right_hand, left_hand)', 'grasp(left_hand, shaker1)', 'pour-shaker-to-shot(cocktail1, shot1, left_hand, shaker1, l2, l1)', 'grasp(right_hand, shot2)', 'leave(right_hand, shot2)', 'leave(left_hand, shaker1)', 'grasp(left_hand, shot2)', 'clean-shot(shot2, cocktail1, left_hand, right_hand)', 'grasp(left_hand, shot2)', 'leave(left_hand, shot2)', 'grasp(right_hand, shot2)', 'leave(right_hand, shot2)', 'grasp(left_hand, shot2)']

successfully verified the action of new state 294 with the path: The last action `grasp(left_hand, shot2)` is valid as all preconditions are met in the parent state. The current state's description, diagram encoding, and visualization accurately reflect the effects of the action. The action does not directly achieve the goal state but maintains the possibility of reaching it with further actions.
