ACTION_NUMBER 4 ACTION_PROMPT TASK: {'description': 'Go down the hallway.', 'priority': 'medium'}. Your final task is to NAVIGATE TO THE NEAREST BED, and get as close to it as possible. There are 5 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. NOTE: choose action 0 if you want to TURN AROUND or DONT SEE ANY GOOD ACTIONS. In order to complete the subtask {'description': 'Go down the hallway.', 'priority': 'medium'} and eventually the final task NAVIGATING TO THE NEAREST BED. Explain which action acheives that best. 🎯 SCENE ANALYSIS for current direction (30°): 💡 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 4 is the best option as it moves further down the hallway towards the bed. It also avoids the step up to action 5. {{'action': 4}} COT_EVALUATOR_RESPONSE {'goal_rotate_degrees': 30, 'explorable_value': {'30': 2, '90': 1, '150': 1, '210': 1, '270': 7, '330': 2}, 'reason': {'30': 'View down a hallway. No bed in sight, but hallways often connect to bedrooms.', '90': 'Likely a living room area. Low score due to the presence of living room furniture and no clear path or bed in sight.', '150': 'Clearly a living room. Unlikely to find a bed here.', '210': 'Living room area with a wood stove. No bed visible.', '270': 'A closed door could lead to a bedroom or other private area where a bed might be located. Higher score due to the potential of the unseen room.', '330': 'View into another part of the living room/hallway. No bed visible, but the open path offers a chance of finding one.'}, 'cot_stats': {}} COT_PLANNING_RESPONSE {'goal_flag': False, 'subtask': {'description': 'Go down the hallway.', 'priority': 'medium'}, 'goal_reason': 'View down a hallway. No bed in sight, but hallways often connect to bedrooms.'} GOAL_SUBGRAPH_RESPONSE {'target_object': 'bed', 'subgraph_info': {'target_rooms': [], 'nodes_count': 0, 'edges_count': 0, 'vlm_semantic_hints': {}, 'subgraph_cached': True, 'construction_method': 'llm_generated'}, 'step_number': 2, 'episode_id': 399}