Datasets:

Modalities:
Text
Formats:
json
Languages:
English
ArXiv:
Libraries:
Datasets
Dask
License:
PurpleSand commited on
Commit
926be7d
Β·
verified Β·
1 Parent(s): a48f4f5

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +19 -0
README.md CHANGED
@@ -28,6 +28,14 @@ COMMAND_dataset/
28
  └─.npy # Sketch instructions
29
  ```
30
 
 
 
 
 
 
 
 
 
31
  ---
32
 
33
  ## Dataset Overview πŸ“ˆ
@@ -116,4 +124,15 @@ Total : 3317 bagfiles, includes 48 hours of driving data over 219 kilometers.
116
  "drive_map_name": "occupancy_map",
117
  "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."
118
  }
 
 
 
 
 
 
 
 
 
 
 
119
  ```
 
28
  └─.npy # Sketch instructions
29
  ```
30
 
31
+ How to extract the dataset:
32
+
33
+ ```bash
34
+ # To recombine the parts, use:
35
+ cat COMMAND_part_* > COMMAND.tar.zst
36
+ # Then decompress the archive:
37
+ tar --use-compress-program=zstd -xf COMMAND.tar.zst
38
+ ```
39
  ---
40
 
41
  ## Dataset Overview πŸ“ˆ
 
124
  "drive_map_name": "occupancy_map",
125
  "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."
126
  }
127
+ ```
128
+
129
+ ## Citation
130
+ If you find this work useful, please cite our paper:
131
+ ```
132
+ @article{choi2024canvas,
133
+ title={CANVAS: Commonsense-Aware Navigation System for Intuitive Human-Robot Interaction},
134
+ author={Choi, Suhwan and Cho, Yongjun and Kim, Minchan and Jung, Jaeyoon and Joe, Myunchul and Park, Yubeen and Kim, Minseo and Kim, Sungwoong and Lee, Sungjae and Park, Hwiseong and others},
135
+ journal={arXiv preprint arXiv:2410.01273},
136
+ year={2024}
137
+ }
138
  ```