PurpleSand
commited on
cbf121a9356a7e93695f1a174871d820f5f4cf52cb27aee84d93187de4894ce0
Browse files- scenarios/09b6208388a2306e0ce83bb268edbf84.json +9 -0
- scenarios/09b6208388a2306e0ce83bb268edbf84.npy +3 -0
- scenarios/09bd58c748df5233870697d104f98d4e.json +9 -0
- scenarios/09bd58c748df5233870697d104f98d4e.npy +3 -0
- scenarios/09befdd2814bade981ffed75fc82ada4.json +9 -0
- scenarios/09befdd2814bade981ffed75fc82ada4.npy +3 -0
- scenarios/09bfcbdee29204cc5f77630451f8390b.json +9 -0
- scenarios/09bfcbdee29204cc5f77630451f8390b.npy +3 -0
- scenarios/09c7b71147727b1253c4e56dcdd2f74c.json +9 -0
- scenarios/09c7b71147727b1253c4e56dcdd2f74c.npy +3 -0
- scenarios/09f25778118d75f19eb5a0dbff6e0881.json +9 -0
- scenarios/09f25778118d75f19eb5a0dbff6e0881.npy +3 -0
- scenarios/0a145608ae1d3387bc830145e1483956.json +9 -0
- scenarios/0a145608ae1d3387bc830145e1483956.npy +3 -0
- scenarios/0a1f277a93fed629365ac5863c20c64e.json +9 -0
- scenarios/0a1f277a93fed629365ac5863c20c64e.npy +3 -0
- scenarios/0a2c336167be9bbc715d109d40b4afe9.json +9 -0
- scenarios/0a2c336167be9bbc715d109d40b4afe9.npy +3 -0
- scenarios/0a2ce4a64304bda18fea6bba7af0a660.json +9 -0
- scenarios/0a2ce4a64304bda18fea6bba7af0a660.npy +3 -0
- scenarios/0a3e42120b6cac2a90c6e9fac9b39759.json +9 -0
- scenarios/0a3e42120b6cac2a90c6e9fac9b39759.npy +3 -0
- scenarios/0a5550d96f8d22d36d86f2cb7fd3e653.json +9 -0
- scenarios/0a5550d96f8d22d36d86f2cb7fd3e653.npy +3 -0
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- scenarios/0a7b85249cd7ec83eb2cd0e6b54d0567.json +9 -0
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- scenarios/0a89e3867ad3bb82f88aa2e75129f598.json +9 -0
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- scenarios/0a9932ac019d789da3a6554993381cd1.json +9 -0
- scenarios/0a9932ac019d789da3a6554993381cd1.npy +3 -0
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- scenarios/0afe9ff7b952b3483506bbc34626ca84.json +9 -0
- scenarios/0afe9ff7b952b3483506bbc34626ca84.npy +3 -0
scenarios/09b6208388a2306e0ce83bb268edbf84.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/12/13",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "13",
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"drive_map_name": "occupancy_map",
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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."
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}
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scenarios/09b6208388a2306e0ce83bb268edbf84.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:373ceb87097aea60b2de14f4f4ae069f7ec8aa2bb08b8fec3bb6cfe4dfade2dc
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size 12128
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scenarios/09bd58c748df5233870697d104f98d4e.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/misleading/9/12",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "10",
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"drive_map_name": "occupancy_map",
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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."
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}
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scenarios/09bd58c748df5233870697d104f98d4e.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:02010451e028662ba7d3df0a4de6678358b88763b107e9ef0326cdf1e0c0de74
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size 4016
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scenarios/09befdd2814bade981ffed75fc82ada4.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/0/61",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "1",
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"drive_map_name": "occupancy_map",
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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."
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}
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scenarios/09befdd2814bade981ffed75fc82ada4.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:f3229167859154ec788d20005403753e7bbe60b6509240cf50398646b43093f9
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size 14112
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scenarios/09bfcbdee29204cc5f77630451f8390b.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/15/36",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "16",
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"drive_map_name": "occupancy_map",
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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."
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}
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scenarios/09bfcbdee29204cc5f77630451f8390b.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d0a9dd3833f9f5812242aa2f0d922a43db6998f342021d418315b3434ba59be
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size 12640
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scenarios/09c7b71147727b1253c4e56dcdd2f74c.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/misleading/13/10",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "14",
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"drive_map_name": "occupancy_map",
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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."
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}
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scenarios/09c7b71147727b1253c4e56dcdd2f74c.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:30dbf165542bcfc1e4218be211d8503ea711c70020da17bcce02c3c223d2c073
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size 13600
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scenarios/09f25778118d75f19eb5a0dbff6e0881.json
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{
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"semantic_uuid": "sim_street_sidewalk/food_delivery/misleading/0/3",
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"map_name": "sim_street_sidewalk",
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"sketch_map_name": "orthographic_map",
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"start": "(random)",
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"end": "1",
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"drive_map_name": "occupancy_map",
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"model_guideline": "You are an outdoor last mile delivery 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.\n5. You must drive on the sidewalk.\n a. If you need to cross the road, you must use the crosswalk."
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}
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scenarios/09f25778118d75f19eb5a0dbff6e0881.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:c17c907956d0c79ea3bb3c2d461a3bb9363728ebd369dfb89f3d10eff96caadc
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size 26560
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scenarios/0a145608ae1d3387bc830145e1483956.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/0/8",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "1",
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"drive_map_name": "occupancy_map",
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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."
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}
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scenarios/0a145608ae1d3387bc830145e1483956.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:a8488bdf5e02a7222aaa3446c49c2cc2b67f007814a45053129d18a201ca3790
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size 11632
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scenarios/0a1f277a93fed629365ac5863c20c64e.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/3/42",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "4",
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"drive_map_name": "occupancy_map",
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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."
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}
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scenarios/0a1f277a93fed629365ac5863c20c64e.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:6415b1e6b9d2fdf1949040e06105595bd340da9be13c36427184dcd0f984d99f
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size 5936
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scenarios/0a2c336167be9bbc715d109d40b4afe9.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/16/52",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "17",
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"drive_map_name": "occupancy_map",
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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."
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+
}
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scenarios/0a2c336167be9bbc715d109d40b4afe9.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:40c50c8551815fad0efe13fea1c533b7a3b12f7a4419952f75e9f31829e868a7
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size 12160
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scenarios/0a2ce4a64304bda18fea6bba7af0a660.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/8/64",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "9",
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"drive_map_name": "occupancy_map",
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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."
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+
}
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scenarios/0a2ce4a64304bda18fea6bba7af0a660.npy
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:97ebcc355ae5457fa39d994fcccf97f2aba7d029953acc5123e5c98a2eaba163
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size 2224
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scenarios/0a3e42120b6cac2a90c6e9fac9b39759.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/7/23",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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6 |
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"end": "8",
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7 |
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"drive_map_name": "occupancy_map",
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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."
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9 |
+
}
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scenarios/0a3e42120b6cac2a90c6e9fac9b39759.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:09adcdb853f53e5f45c835ff0cb8d38e11040c9ace53b65fec35377f1d66563a
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size 10512
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scenarios/0a5550d96f8d22d36d86f2cb7fd3e653.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/8/5",
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3 |
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "9",
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"drive_map_name": "occupancy_map",
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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."
|
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}
|
scenarios/0a5550d96f8d22d36d86f2cb7fd3e653.npy
ADDED
@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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scenarios/0a6c4806ff4ca65fb16394300c42a8c1.json
ADDED
@@ -0,0 +1,9 @@
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{
|
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|
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|
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|
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|
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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."
|
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}
|
scenarios/0a6c4806ff4ca65fb16394300c42a8c1.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
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version https://git-lfs.github.com/spec/v1
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scenarios/0a7b85249cd7ec83eb2cd0e6b54d0567.json
ADDED
@@ -0,0 +1,9 @@
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{
|
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|
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|
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|
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|
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|
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"model_guideline": "You are an outdoor last mile delivery 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.\n5. You must drive on the sidewalk.\n a. If you need to cross the road, you must use the crosswalk."
|
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}
|
scenarios/0a7b85249cd7ec83eb2cd0e6b54d0567.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
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version https://git-lfs.github.com/spec/v1
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size 25184
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scenarios/0a7be3843bcd500c359ed5424e0651de.json
ADDED
@@ -0,0 +1,9 @@
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{
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|
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|
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|
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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."
|
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}
|
scenarios/0a7be3843bcd500c359ed5424e0651de.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
|
|
|
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version https://git-lfs.github.com/spec/v1
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scenarios/0a89e3867ad3bb82f88aa2e75129f598.json
ADDED
@@ -0,0 +1,9 @@
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{
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|
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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."
|
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}
|
scenarios/0a89e3867ad3bb82f88aa2e75129f598.npy
ADDED
@@ -0,0 +1,3 @@
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|
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version https://git-lfs.github.com/spec/v1
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scenarios/0a9932ac019d789da3a6554993381cd1.json
ADDED
@@ -0,0 +1,9 @@
|
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{
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"map_name": "sim_office",
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|
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"drive_map_name": "occupancy_map",
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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."
|
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}
|
scenarios/0a9932ac019d789da3a6554993381cd1.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
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version https://git-lfs.github.com/spec/v1
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size 7360
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scenarios/0ab69a812146c8a9fb018883572e87d0.json
ADDED
@@ -0,0 +1,9 @@
|
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{
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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."
|
9 |
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}
|
scenarios/0ab69a812146c8a9fb018883572e87d0.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
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version https://git-lfs.github.com/spec/v1
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size 3088
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scenarios/0ab7d9badf77edbc375c3b734b8480ce.json
ADDED
@@ -0,0 +1,9 @@
|
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{
|
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|
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|
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"model_guideline": "You are an outdoor last mile delivery 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.\n5. You must drive on the sidewalk.\n a. If you need to cross the road, you must use the crosswalk."
|
9 |
+
}
|
scenarios/0ab7d9badf77edbc375c3b734b8480ce.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 11200
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scenarios/0ac3be3ad4411fe0be248cddce1eb20c.json
ADDED
@@ -0,0 +1,9 @@
|
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{
|
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|
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"map_name": "sim_orchard",
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"start": "(random)",
|
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|
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"drive_map_name": "occupancy_map",
|
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"model_guideline": "You are an outdoor speed-sprayer 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."
|
9 |
+
}
|
scenarios/0ac3be3ad4411fe0be248cddce1eb20c.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 107408
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scenarios/0ac65297a7d7b5fd2e673298089da01e.json
ADDED
@@ -0,0 +1,9 @@
|
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{
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|
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"start": "(random)",
|
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|
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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."
|
9 |
+
}
|
scenarios/0ac65297a7d7b5fd2e673298089da01e.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
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+
version https://git-lfs.github.com/spec/v1
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|
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size 10960
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scenarios/0ad411bfe7ed5fb17044ca1e7a70e081.json
ADDED
@@ -0,0 +1,9 @@
|
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{
|
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|
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"map_name": "sim_street_road",
|
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"sketch_map_name": "orthographic_map",
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"start": "(random)",
|
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|
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|
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"model_guideline": "You are an outdoor self-driving robot taxi.\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.\n5. You must drive on the road.\n a. You should drive according to the right-hand-traffic law.\n6. You should slow down before entering intersections, speed bumps, and crosswalks."
|
9 |
+
}
|
scenarios/0ad411bfe7ed5fb17044ca1e7a70e081.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:2a166354a6bd42ce23f3fa6dd97f1278797510b1acd4caa15dd2164f26d65d50
|
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size 10240
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scenarios/0ad73d778f35bea24c3bbc4dbe3b3fa8.json
ADDED
@@ -0,0 +1,9 @@
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{
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|
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
|
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|
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"drive_map_name": "occupancy_map",
|
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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."
|
9 |
+
}
|
scenarios/0ad73d778f35bea24c3bbc4dbe3b3fa8.npy
ADDED
@@ -0,0 +1,3 @@
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|
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|
|
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|
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+
version https://git-lfs.github.com/spec/v1
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size 13056
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scenarios/0afca5522693118576458805c79bc465.json
ADDED
@@ -0,0 +1,9 @@
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|
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{
|
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|
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"map_name": "sim_street_sidewalk",
|
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"sketch_map_name": "orthographic_map",
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"start": "(random)",
|
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"end": "17",
|
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"drive_map_name": "occupancy_map",
|
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"model_guideline": "You are an outdoor last mile delivery 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.\n5. You must drive on the sidewalk.\n a. If you need to cross the road, you must use the crosswalk."
|
9 |
+
}
|
scenarios/0afca5522693118576458805c79bc465.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
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|
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|
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+
version https://git-lfs.github.com/spec/v1
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oid sha256:524c19456ac8efd1b65707ed9e067ba2c5f17f7b6d34c59cff7446ea77e0cd8a
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size 11728
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scenarios/0afe9ff7b952b3483506bbc34626ca84.json
ADDED
@@ -0,0 +1,9 @@
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{
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|
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"map_name": "sim_office",
|
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"sketch_map_name": "annotated_occupancy_map",
|
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"start": "(random)",
|
6 |
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"end": "14",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"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."
|
9 |
+
}
|
scenarios/0afe9ff7b952b3483506bbc34626ca84.npy
ADDED
@@ -0,0 +1,3 @@
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|
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+
version https://git-lfs.github.com/spec/v1
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