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 (30Β°): πŸ“ Detected Objects and Their Locations: πŸ—ΊοΈ Spatial Object Mapping: - door (unknown): spatial_pos=unknown 🏠 Room Context: πŸ’‘ 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 away from the wall and towards the open space, which is necessary to navigate to the sofa. {{'action': 1}} COT_EVALUATOR_RESPONSE {'goal_rotate_degrees': 30, 'explorable_value': {'30': 0, '90': 0, '150': 0, '210': 7, '270': 1, '330': 8}, 'reason': {'30': 'Door blocks the view and path. No indication of a living space.', '90': 'Door blocks the view and path. No indication of a living space.', '150': 'Door blocks the view and path. No indication of a living space.', '210': 'Open doorway suggests access to a room where a sofa might be located.', '270': 'Stairs are visible, less likely to lead to a sofa. Prioritize other paths first.', '330': 'Open hallway leading to other potential rooms. High chance of finding a living room or family room down this hallway.'}, 'cot_stats': {}} COT_PLANNING_RESPONSE {'goal_flag': False, 'subtask': {'description': 'Open the door and go through it', 'priority': 'medium'}, 'goal_reason': 'Door blocks the view and path. No indication of a living space.'} 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': 19, 'episode_id': 63}