PurpleSand
commited on
d7b6a62bff7283519d39f719e64c9566f12902ea555ee3437d2e39b1fda4a449
Browse files- scenarios/5b1fae54f55c791b618e1d7705b552ab.json +9 -0
- scenarios/5b1fae54f55c791b618e1d7705b552ab.npy +3 -0
- scenarios/5b201aa15c20911a9d46a018ff4f49e9.json +9 -0
- scenarios/5b201aa15c20911a9d46a018ff4f49e9.npy +3 -0
- scenarios/5b21ec50cdc2fe86d56f7ac4f800e3da.json +9 -0
- scenarios/5b21ec50cdc2fe86d56f7ac4f800e3da.npy +3 -0
- scenarios/5b22bcb44734b642f2b9a58ee18a5fdb.json +9 -0
- scenarios/5b22bcb44734b642f2b9a58ee18a5fdb.npy +3 -0
- scenarios/5b30a856aa51a83b1095eccfbb39dea5.json +9 -0
- scenarios/5b30a856aa51a83b1095eccfbb39dea5.npy +3 -0
- scenarios/5b4e90da7468121c2bf37efdb8e6bfb0.json +9 -0
- scenarios/5b4e90da7468121c2bf37efdb8e6bfb0.npy +3 -0
- scenarios/5b54a7c446bcfdba67e7a46f6b24102e.json +9 -0
- scenarios/5b54a7c446bcfdba67e7a46f6b24102e.npy +3 -0
- scenarios/5b55bad49b8895d9a5653a6c07c1afa4.json +9 -0
- scenarios/5b55bad49b8895d9a5653a6c07c1afa4.npy +3 -0
- scenarios/5b7743f58174e628cf574b8d94f356c4.json +9 -0
- scenarios/5b7743f58174e628cf574b8d94f356c4.npy +3 -0
- scenarios/5b891a375e69c766ac3158055f087406.json +9 -0
- scenarios/5b891a375e69c766ac3158055f087406.npy +3 -0
- scenarios/5b8dbb3348f5fefadacb4d48377acc91.json +9 -0
- scenarios/5b8dbb3348f5fefadacb4d48377acc91.npy +3 -0
- scenarios/5b99af643f757c80155f2ceb2b1d19e9.json +9 -0
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- scenarios/5b9f1a3c4fb9b86cea96bf2d45be2a8c.json +9 -0
- scenarios/5b9f1a3c4fb9b86cea96bf2d45be2a8c.npy +3 -0
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- scenarios/5bba0f770b1f5e4c15f07f03f81e2036.json +9 -0
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- scenarios/5bfffa3129a5fecd6597b0077e5f837c.json +9 -0
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- scenarios/5c00314f14691e8096b89fc6fd32e60c.json +9 -0
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scenarios/5b1fae54f55c791b618e1d7705b552ab.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/1/74",
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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": "2",
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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/5b1fae54f55c791b618e1d7705b552ab.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:86dfbb6ff4cac2d447c39d3e56f264b1050b329f11c38e421bd70bf1ff01953a
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size 6032
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scenarios/5b201aa15c20911a9d46a018ff4f49e9.json
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{
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"semantic_uuid": "sim_orchard/speed_sprayer/misleading/0/14",
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"map_name": "sim_orchard",
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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 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."
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}
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scenarios/5b201aa15c20911a9d46a018ff4f49e9.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:42a20c0d38cd13d8ca2a50cee4241150f62bdbd62c31464728441844b6c942f8
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size 13952
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scenarios/5b21ec50cdc2fe86d56f7ac4f800e3da.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/16/25",
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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/5b21ec50cdc2fe86d56f7ac4f800e3da.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:443fb760810d56cf6c8b0be4562614dc0ef73b29d147870a60d5b7fe3faec706
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size 8208
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scenarios/5b22bcb44734b642f2b9a58ee18a5fdb.json
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{
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"semantic_uuid": "sim_street_road/left_food_delivery/misleading/10/9",
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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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"end": "11",
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"drive_map_name": "occupancy_map",
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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 left-hand-traffic law.\n6. You should slow down before entering intersections, speed bumps, and crosswalks."
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}
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scenarios/5b22bcb44734b642f2b9a58ee18a5fdb.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:2000f5df2be93304924eacc44928fef9bfe6cfa52283e7ab5cc5e7ee9451fda4
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size 38512
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scenarios/5b30a856aa51a83b1095eccfbb39dea5.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/4/52",
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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": "5",
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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/5b30a856aa51a83b1095eccfbb39dea5.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:bba548dda643aed423ec12b907d2115dc9ccd97d1d3936c045571ec5bce6adcd
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size 8464
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scenarios/5b4e90da7468121c2bf37efdb8e6bfb0.json
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{
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"semantic_uuid": "sim_street_road/right_food_delivery/precise/14/1",
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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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"end": "15",
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"drive_map_name": "occupancy_map",
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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."
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}
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scenarios/5b4e90da7468121c2bf37efdb8e6bfb0.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:300b0ce2c61725839258a7f01c989cff17bf99ce4dab25ae461cc694f8e9db78
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size 45456
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scenarios/5b54a7c446bcfdba67e7a46f6b24102e.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/misleading/13/2",
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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/5b54a7c446bcfdba67e7a46f6b24102e.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:93c171b66e219438776b7000466bc8eff166fb5caa9fcd0c35172c655741a9b5
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size 7488
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scenarios/5b55bad49b8895d9a5653a6c07c1afa4.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/4/63",
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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": "5",
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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/5b55bad49b8895d9a5653a6c07c1afa4.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:e266a22e85c14058f7684ec7c88794bad21c2e1aa214f124eda84ab6bea5a03c
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size 7808
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scenarios/5b7743f58174e628cf574b8d94f356c4.json
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{
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"semantic_uuid": "sim_orchard/speed_sprayer/misleading/4/1",
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"map_name": "sim_orchard",
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"sketch_map_name": "annotated_occupancy_map",
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"start": "(random)",
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"end": "5",
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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 |
+
}
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scenarios/5b7743f58174e628cf574b8d94f356c4.npy
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:dfe59e17d579e31c92a61117f0ea666a1b9af74e6092b8e224b13b6c08778a24
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size 66688
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scenarios/5b891a375e69c766ac3158055f087406.json
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{
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"semantic_uuid": "sim_orchard/speed_sprayer/precise/0/30",
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"map_name": "sim_orchard",
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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 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."
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9 |
+
}
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scenarios/5b891a375e69c766ac3158055f087406.npy
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version https://git-lfs.github.com/spec/v1
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oid sha256:2c894c9cc94ac72529dbfbca976e48aab6d4e726dec64933674d591b755be99e
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size 109072
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scenarios/5b8dbb3348f5fefadacb4d48377acc91.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/6/10",
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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": "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."
|
9 |
+
}
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scenarios/5b8dbb3348f5fefadacb4d48377acc91.npy
ADDED
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version https://git-lfs.github.com/spec/v1
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oid sha256:d0c99ef4563ee2be4023bd55b3b4ca7b5a353e6db7c789f7f733689cffc7af5c
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size 15888
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scenarios/5b99af643f757c80155f2ceb2b1d19e9.json
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{
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"semantic_uuid": "sim_office/coffee_delivery/precise/4/8",
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"map_name": "sim_office",
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"sketch_map_name": "annotated_occupancy_map",
|
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"start": "(random)",
|
6 |
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"end": "5",
|
7 |
+
"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/5b99af643f757c80155f2ceb2b1d19e9.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:fb0ab209d6d5635cc7ba9e10dec9b7a803163b58da120786abe80809d32df518
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size 6496
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scenarios/5b9f1a3c4fb9b86cea96bf2d45be2a8c.json
ADDED
@@ -0,0 +1,9 @@
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|
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|
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|
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|
|
|
|
1 |
+
{
|
2 |
+
"semantic_uuid": "sim_street_road/right_food_delivery/precise/15/3",
|
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"map_name": "sim_street_road",
|
4 |
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"sketch_map_name": "orthographic_map",
|
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+
"start": "(random)",
|
6 |
+
"end": "16",
|
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"drive_map_name": "occupancy_map",
|
8 |
+
"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/5b9f1a3c4fb9b86cea96bf2d45be2a8c.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:0ec662e48356ce9b742b5eca16a53452f18934a064d0478a856065cbfc2edd9b
|
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size 22432
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scenarios/5ba23ccc7b80398c624500a5c20b148c.json
ADDED
@@ -0,0 +1,9 @@
|
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|
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1 |
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{
|
2 |
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"semantic_uuid": "sim_office/coffee_delivery/precise/4/20",
|
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"map_name": "sim_office",
|
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"sketch_map_name": "annotated_occupancy_map",
|
5 |
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"start": "(random)",
|
6 |
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"end": "5",
|
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."
|
9 |
+
}
|
scenarios/5ba23ccc7b80398c624500a5c20b148c.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:5bb234dd3f071d3bc200f8d24f73a752e9491c5ef422c70d449e15815a9c673d
|
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size 14128
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scenarios/5ba70013363e676cc118eb9b2a2a87fc.json
ADDED
@@ -0,0 +1,9 @@
|
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|
1 |
+
{
|
2 |
+
"semantic_uuid": "sim_street_sidewalk/food_delivery/precise/11/6",
|
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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": "12",
|
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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/5ba70013363e676cc118eb9b2a2a87fc.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
1 |
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version https://git-lfs.github.com/spec/v1
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oid sha256:98328470bd077f19a307699f5c84820a3a8f305b8fdbc7096e80ae464e406f94
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size 14656
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scenarios/5bad457a8952068a2172583ce52a504a.json
ADDED
@@ -0,0 +1,9 @@
|
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{
|
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"semantic_uuid": "sim_office/coffee_delivery/misleading/18/9",
|
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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": "19",
|
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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/5bad457a8952068a2172583ce52a504a.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:a5bc96647cf5167fdd2d22ba50ce63789dc14ad6c436d5557fa087142d32ba75
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size 17888
|
scenarios/5bba0f770b1f5e4c15f07f03f81e2036.json
ADDED
@@ -0,0 +1,9 @@
|
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|
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|
|
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|
1 |
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{
|
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"semantic_uuid": "sim_office/coffee_delivery/misleading/5/3",
|
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"map_name": "sim_office",
|
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"sketch_map_name": "annotated_occupancy_map",
|
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"start": "(random)",
|
6 |
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"end": "6",
|
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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/5bba0f770b1f5e4c15f07f03f81e2036.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:828f37d9e340914bad18aa986e2353c5b941b575b8181f74709983dcc3b45fa5
|
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size 18656
|
scenarios/5bca493a2c03f5c5f4e28164f7395853.json
ADDED
@@ -0,0 +1,9 @@
|
|
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|
|
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|
|
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|
1 |
+
{
|
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"semantic_uuid": "sim_street_sidewalk/food_delivery/precise/12/13",
|
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"map_name": "sim_street_sidewalk",
|
4 |
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"sketch_map_name": "orthographic_map",
|
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"start": "(random)",
|
6 |
+
"end": "13",
|
7 |
+
"drive_map_name": "occupancy_map",
|
8 |
+
"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/5bca493a2c03f5c5f4e28164f7395853.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:b50ef1f8dbc9da1c60d31e8708bc7619cbdc3537964e34b1d416f991fb4c0ac0
|
3 |
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size 17984
|
scenarios/5bfffa3129a5fecd6597b0077e5f837c.json
ADDED
@@ -0,0 +1,9 @@
|
|
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|
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|
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|
1 |
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{
|
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"semantic_uuid": "sim_office/coffee_delivery/precise/5/40",
|
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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": "6",
|
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/5bfffa3129a5fecd6597b0077e5f837c.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:a1b8785829a7959dfcf4a7c90d42dbfbc069e686f466363ad1ea9901eea5ac0b
|
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size 20800
|
scenarios/5c00314f14691e8096b89fc6fd32e60c.json
ADDED
@@ -0,0 +1,9 @@
|
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|
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|
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|
1 |
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{
|
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"semantic_uuid": "sim_street_sidewalk/food_delivery/misleading/14/9",
|
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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": "15",
|
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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/5c00314f14691e8096b89fc6fd32e60c.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:45930ee0fc51700ec0d689802d277e2e30d0fe9a81ae456962a68358eaf03a03
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size 15664
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scenarios/5c0250014d284084832c8aaae8cb72c7.json
ADDED
@@ -0,0 +1,9 @@
|
|
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|
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|
1 |
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{
|
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"semantic_uuid": "sim_office/coffee_delivery/precise/13/30",
|
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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 |
+
"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/5c0250014d284084832c8aaae8cb72c7.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:2f1300fccbca9542fc0e2aff81cd8777222e943f55ee757fee84aa416af7e62e
|
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size 3152
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scenarios/5c4e730aa486b9fa312010ff466b958c.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
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|
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|
1 |
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{
|
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"semantic_uuid": "sim_office/coffee_delivery/precise/0/37",
|
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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 |
+
"end": "1",
|
7 |
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"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/5c4e730aa486b9fa312010ff466b958c.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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2 |
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oid sha256:8f17c74790a4a85430b2410eac8dd1d95693ed01aa8a586a7ef7e36867badd45
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size 16960
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scenarios/5c5164497e74948fd9e34f265dd32f97.json
ADDED
@@ -0,0 +1,9 @@
|
|
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|
1 |
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{
|
2 |
+
"semantic_uuid": "sim_office/coffee_delivery/misleading/13/21",
|
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"map_name": "sim_office",
|
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+
"sketch_map_name": "annotated_occupancy_map",
|
5 |
+
"start": "(random)",
|
6 |
+
"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/5c5164497e74948fd9e34f265dd32f97.npy
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:686181e3781ccd7d134017f9182738405f8f8ec1d9f448e1762da4b159bb1344
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size 15184
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scenarios/5c696277244a2b5a4a1867e7cc0e262b.json
ADDED
@@ -0,0 +1,9 @@
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|
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{
|
2 |
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"semantic_uuid": "sim_office/coffee_delivery/precise/10/23",
|
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)",
|
6 |
+
"end": "11",
|
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/5c696277244a2b5a4a1867e7cc0e262b.npy
ADDED
@@ -0,0 +1,3 @@
|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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size 5824
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scenarios/5c796e21a325fbdab6d64df82a2c212f.json
ADDED
@@ -0,0 +1,9 @@
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|
1 |
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{
|
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+
"semantic_uuid": "sim_office/coffee_delivery/precise/17/1",
|
3 |
+
"map_name": "sim_office",
|
4 |
+
"sketch_map_name": "annotated_occupancy_map",
|
5 |
+
"start": "(random)",
|
6 |
+
"end": "18",
|
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/5c796e21a325fbdab6d64df82a2c212f.npy
ADDED
@@ -0,0 +1,3 @@
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|
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|
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|
1 |
+
version https://git-lfs.github.com/spec/v1
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oid sha256:ab1d460c1e67ef6c45341f6d85b757cbd5d6a2ecbc593e193a0799f267a33180
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size 13472
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