Parent State ID: 1
State Depth: 2
Action Taken: change-color(robot1, white, black)
Action Reasoning: The robot is on tile_1-1 and needs to paint tile_2-1 black. First, change the color from white to black to meet the goal requirements.
State Description: (tile_0-1: clear, tile_0-2: clear, tile_0-3: clear, tile_1-1: occupied by robot1 holding color black, tile_1-2: clear, tile_1-3: clear, tile_2-1: clear, tile_2-2: clear, tile_2-3: clear, robot1: on tile_1-1 holding color black, color_white: available, color_black: available)
Action Path: ['down(robot1, tile_0-1, tile_1-1)', 'change-color(robot1, white, black)']

successfully verified the action of new state 4 with the path: The last action `change-color(robot1, white, black)` is valid as all preconditions are met, and the effects are correctly updated in the current state. The natural language description, diagram encoding, and visualization of the current state are accurate and consistent with the sequence of actions taken. The action is logical for achieving the goal state, as it prepares the robot to paint tiles in row 2 with black.
