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+    "model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n    a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n    b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
+}

scenarios/6d7d4ed8341006d6a6f9f2bf60634ab7.npy

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+size 10528

scenarios/6d8ce3e814cc797041c7929b90e48f01.json

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+    "map_name": "sim_office",
+    "sketch_map_name": "annotated_occupancy_map",
+    "start": "(random)",
+    "end": "20",
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+    "model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n    a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n    b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
+}

scenarios/6d8ce3e814cc797041c7929b90e48f01.npy

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scenarios/6dc5a06bab61591f33651686bf5e5d66.json

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+    "map_name": "sim_office",
+    "sketch_map_name": "annotated_occupancy_map",
+    "start": "(random)",
+    "end": "19",
+    "drive_map_name": "occupancy_map",
+    "model_guideline": "You are an indoor food-serving robot.\n\nYou must follow these driving instructions:\n1. You must avoid collisions.\n2. You should prioritize reaching the final destination.\n3. You should follow the Trajectory Instruction.\n    a. If the Trajectory Instruction cannot be followed due to any obstacles, you should deviate to bypass the obstacle.\n    b. You should try to evade any identifiable obstacles.\n4. You should maintain a constant driving speed."
+}

scenarios/6dc5a06bab61591f33651686bf5e5d66.npy

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scenarios/6dcc740cea06c8414f9b0c6b2f105449.json

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+    "sketch_map_name": "annotated_occupancy_map",
+    "start": "(random)",
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+}

scenarios/6dcc740cea06c8414f9b0c6b2f105449.npy

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