ACTION_NUMBER
4

ACTION_PROMPT
TASK: {'description': 'Leave the bedroom and explore other rooms.', 'priority': 'medium'}. Your final task is to NAVIGATE TO THE NEAREST CHAIR, 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': 'Leave the bedroom and explore other rooms.', 'priority': 'medium'} and eventually the final task NAVIGATING TO THE NEAREST CHAIR. Explain which action acheives that best. 

🎯 SCENE ANALYSIS for current direction (210°):
📍 Detected Objects and Their Locations:

🗺️ Spatial Object Mapping:
  - wall (unknown): spatial_pos=unknown

🏠 Room Context: 

💡 Use this spatial information to make more informed navigation decisions!
Return your answer as {{'action': <action_key>}}. Note you CANNOT GO THROUGH CLOSED DOORS, and you DO NOT NEED TO GO UP OR DOWN STAIRS

ACTION_RESPONSE
Action 4 leads directly towards the doorway and out of the bedroom. This is the best action to take to leave the bedroom and explore other rooms, and eventually navigate to the nearest chair.

{{'action': 4}}

COT_EVALUATOR_RESPONSE
{'goal_rotate_degrees': 210, 'explorable_value': {'30': 10, '90': 2, '150': 0, '210': 0, '270': 0, '330': 5}, 'reason': {'30': 'Chairs are visible around the dining table.', '90': 'Hallway, might lead to other rooms with chairs, but low probability.', '150': 'Wall, no path or furniture visible.', '210': 'Wall, no path or furniture visible.', '270': 'View is obstructed, cannot assess.', '330': 'Open doorway to an unknown room, moderate chance of finding a chair.'}, 'cot_stats': {}}

COT_PLANNING_RESPONSE
{'goal_flag': False, 'subtask': {'description': 'Leave the bedroom and explore other rooms.', 'priority': 'medium'}, 'goal_reason': 'Wall, no path or furniture visible.'}

GOAL_SUBGRAPH_RESPONSE
{'target_object': 'chair', 'subgraph_info': {'target_rooms': [], 'nodes_count': 0, 'edges_count': 0, 'vlm_semantic_hints': {}, 'subgraph_cached': True, 'construction_method': 'llm_generated'}, 'step_number': 26, 'episode_id': 289}