ACTION_NUMBER 1 ACTION_PROMPT TASK: {'description': 'Open the door and go through it', 'priority': 'medium'}. Your final task is to NAVIGATE TO THE NEAREST SOFA, and get as close to it as possible. There are 3 red arrows superimposed onto your observation, which represent potential actions. These are labeled with a number in a white circle, which represent the location you would move to if you took that action. In order to complete the subtask {'description': 'Open the door and go through it', 'priority': 'medium'} and eventually the final task NAVIGATING TO THE NEAREST SOFA. Explain which action acheives that best. 🎯 SCENE ANALYSIS for current direction (270°): 💡 Use this spatial information to make more informed navigation decisions! Return your answer as {{'action': }}. Note you CANNOT GO THROUGH CLOSED DOORS, and you DO NOT NEED TO GO UP OR DOWN STAIRS ACTION_RESPONSE Action 1 is the best option, as it leads through the open doorway. Actions 2 and 3 lead into the doorframe, and action 4 leads into the wall. By taking action 1, I will be able to go through the door and complete the subtask "Open the door and go through it". This will also allow me to proceed with the final task of navigating to the nearest sofa. {{'action': 1}} COT_EVALUATOR_RESPONSE {'goal_rotate_degrees': 270, 'explorable_value': {'30': 0, '90': 0, '150': 7, '210': 5, '270': 0, '330': 0}, 'reason': {'30': 'Blank wall, no path forward.', '90': 'Wall and part of a door frame, likely obstructed.', '150': 'Open doorway suggests a transition to a different room, potentially a living room or family room where a sofa might be.', '210': 'Open doorway and stairs offer paths to unexplored areas. Sofas are less likely to be found on stairs or in a typical stairwell area, hence the lower score.', '270': 'Wall, no path forward.', '330': 'Blank wall, no path forward.'}, 'cot_stats': {}} COT_PLANNING_RESPONSE {'goal_flag': False, 'subtask': {'description': 'Open the door and go through it', 'priority': 'medium'}, 'goal_reason': 'Wall, no path forward.'} GOAL_SUBGRAPH_RESPONSE {'target_object': 'sofa', 'subgraph_info': {'target_rooms': [], 'nodes_count': 0, 'edges_count': 0, 'vlm_semantic_hints': {}, 'subgraph_cached': True, 'construction_method': 'llm_generated'}, 'step_number': 12, 'episode_id': 63}