ACTION_NUMBER 1 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 (90Β°): πŸ“ Detected Objects and Their Locations: πŸ—ΊοΈ Spatial Object Mapping: - wall (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}} I am facing a wall, so I will move forward to action 1 to explore the room and eventually find a chair. COT_EVALUATOR_RESPONSE {'goal_rotate_degrees': 90, 'explorable_value': {'30': 2, '90': 0, '150': 0, '210': 0, '270': 8, '330': 10}, 'reason': {'30': 'Hallway leading towards what appears to be a kitchen area. Kitchens sometimes have chairs, but less likely than living or dining rooms.', '90': 'Wall. No visible path or furniture.', '150': 'Mostly wall, with an obscured object that cannot be identified. No clear path.', '210': 'View is significantly obstructed by an unknown object. No clear path or furniture.', '270': 'Dining room with chairs visible around a table. High likelihood of finding the target.', '330': 'Chairs are clearly visible in this direction, around a dining table.'}, 'cot_stats': {}} COT_PLANNING_RESPONSE {'goal_flag': False, 'subtask': {'description': 'Leave the bedroom and explore other rooms.', 'priority': 'medium'}, 'goal_reason': 'Wall. No visible path or furniture.'} 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': 23, 'episode_id': 289}