human_in_or_not
stringclasses
2 values
environment_info
stringclasses
54 values
unmanned_plat_info
stringclasses
7 values
env_file
stringclasses
54 values
task_ID
int64
0
94
task_description
stringlengths
48
423
related_device
stringclasses
10 values
completion_criteria
stringlengths
52
239
planning_thinking
stringclasses
1 value
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_1_4_info.json
1
The person suspected of being Bob has a face matching degree of only 0.5185202918762766 at [19, 25]. It is recommended to drive them away
drone
The person who named Bob at [19, 25] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_1_4_info.json
2
The obstacle sundries at [7, 3, 0] is in the warehouse, recommend to move it to somewhere else like [15, 28] or anywhere else in the vacant_area
forklift
The obstacle sundries at [7, 3, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_1_4_info.json
3
The person suspected of being Bob has a face matching degree of only 0.5158373581011717 at [8, 15]. It is recommended to drive them away
drone
The person who named Bob at [8, 15] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_4_info.json
0
The obstacle pallets at [5, 0, 0] is in the warehouse, recommend to move it to somewhere else like [4, 4] or anywhere else in the vacant_area
forklift
The obstacle pallets at [5, 0, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_4_info.json
1
The obstacle good at [5, 0, 0] is in the warehouse, recommend to move it to somewhere else like [4, 4] or anywhere else in the vacant_area
forklift
The obstacle good at [5, 0, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_4_info.json
2
The person suspected of being Eve has a face matching degree of only 0.5020375262347109 at [5, 2]. It is recommended to drive them away
drone
The person who named Eve at [5, 2] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_2_4_info.json
0
The obstacle good at [8, 14, 0] is in the warehouse, recommend to move it to somewhere else like [2, 13] or anywhere else in the vacant_area
forklift
The obstacle good at [8, 14, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_2_4_info.json
1
The obstacle pallets at [5, 14, 0] is in the warehouse, recommend to move it to somewhere else like [5, 13] or anywhere else in the vacant_area
forklift
The obstacle pallets at [5, 14, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_4_info.json
0
The obstacle sundries at [4, 3, 0] is in the warehouse, recommend to move it to somewhere else like [17, 28] or anywhere else in the vacant_area
forklift
The obstacle sundries at [4, 3, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_4_info.json
1
The obstacle sundries at [14, 24, 0] is in the warehouse, recommend to move it to somewhere else like [1, 28] or anywhere else in the vacant_area
forklift
The obstacle sundries at [14, 24, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_3_info.json
0
The obstacle good at [0, 2, 0] is in the warehouse, recommend to move it to somewhere else like [4, 4] or anywhere else in the vacant_area
forklift
The obstacle good at [0, 2, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_3_info.json
1
The person suspected of being Jack has a face matching degree of only 0.5957274088084323 at [1, 5]. It is recommended to drive them away
drone
The person who named Jack at [1, 5] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_3_info.json
2
The obstacle sundries at [1, 0, 0] is in the warehouse, recommend to move it to somewhere else like [1, 4] or anywhere else in the vacant_area
forklift
The obstacle sundries at [1, 0, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_2_3_info.json
0
The obstacle good at [3, 14, 0] is in the warehouse, recommend to move it to somewhere else like [7, 13] or anywhere else in the vacant_area
forklift
The obstacle good at [3, 14, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_2_3_info.json
1
The obstacle good at [8, 12, 0] is in the warehouse, recommend to move it to somewhere else like [2, 13] or anywhere else in the vacant_area
forklift
The obstacle good at [8, 12, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_3_info.json
0
The obstacle sundries at [2, 15, 0] is in the warehouse, recommend to move it to somewhere else like [5, 28] or anywhere else in the vacant_area
forklift
The obstacle sundries at [2, 15, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_3_info.json
1
The person suspected of being Alice has a face matching degree of only 0.5815263504303709 at [0, 27]. It is recommended to drive them away
drone
The person who named Alice at [0, 27] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_3_info.json
2
The obstacle pallets at [0, 5, 0] is in the warehouse, recommend to move it to somewhere else like [4, 28] or anywhere else in the vacant_area
forklift
The obstacle pallets at [0, 5, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_3_info.json
3
The person suspected of being Alice has a face matching degree of only 0.5278827117463328 at [19, 5]. It is recommended to drive them away
drone
The person who named Alice at [19, 5] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_2_info.json
0
The obstacle good at [0, 5, 0] is in the warehouse, recommend to move it to somewhere else like [2, 4] or anywhere else in the vacant_area
forklift
The obstacle good at [0, 5, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_2_info.json
1
The obstacle pallets at [0, 4, 0] is in the warehouse, recommend to move it to somewhere else like [4, 4] or anywhere else in the vacant_area
forklift
The obstacle pallets at [0, 4, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_2_2_info.json
0
The obstacle pallets at [6, 9, 0] is in the warehouse, recommend to move it to somewhere else like [3, 13] or anywhere else in the vacant_area
forklift
The obstacle pallets at [6, 9, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_2_2_info.json
1
The obstacle good at [2, 3, 0] is in the warehouse, recommend to move it to somewhere else like [7, 13] or anywhere else in the vacant_area
forklift
The obstacle good at [2, 3, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_2_info.json
0
The obstacle pallets at [2, 9, 0] is in the warehouse, recommend to move it to somewhere else like [8, 28] or anywhere else in the vacant_area
forklift
The obstacle pallets at [2, 9, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_2_info.json
1
The person suspected of being David has a face matching degree of only 0.6609127754160653 at [3, 12]. It is recommended to drive them away
drone
The person who named David at [3, 12] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_2_info.json
2
The obstacle good at [17, 29, 0] is in the warehouse, recommend to move it to somewhere else like [8, 28] or anywhere else in the vacant_area
forklift
The obstacle good at [17, 29, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_1_info.json
0
The obstacle pallets at [4, 5, 0] is in the warehouse, recommend to move it to somewhere else like [2, 4] or anywhere else in the vacant_area
forklift
The obstacle pallets at [4, 5, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_1_info.json
1
The obstacle sundries at [1, 0, 0] is in the warehouse, recommend to move it to somewhere else like [4, 4] or anywhere else in the vacant_area
forklift
The obstacle sundries at [1, 0, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_2_1_info.json
2
The person suspected of being Hannah has a face matching degree of only 0.5149799291896009 at [0, 3]. It is recommended to drive them away
drone
The person who named Hannah at [0, 3] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_2_1_info.json
0
The obstacle good at [4, 6, 0] is in the warehouse, recommend to move it to somewhere else like [4, 13] or anywhere else in the vacant_area
forklift
The obstacle good at [4, 6, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_2_1_info.json
1
The obstacle pallets at [0, 2, 0] is in the warehouse, recommend to move it to somewhere else like [4, 13] or anywhere else in the vacant_area
forklift
The obstacle pallets at [0, 2, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_2_1_info.json
2
The person suspected of being Ivy has a face matching degree of only 0.6154458979822501 at [0, 13]. It is recommended to drive them away
drone
The person who named Ivy at [0, 13] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_1_info.json
0
The obstacle pallets at [19, 2, 0] is in the warehouse, recommend to move it to somewhere else like [5, 28] or anywhere else in the vacant_area
forklift
The obstacle pallets at [19, 2, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_1_info.json
1
The person suspected of being Hannah has a face matching degree of only 0.6527127956992582 at [8, 9]. It is recommended to drive them away
drone
The person who named Hannah at [8, 9] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_2_1_info.json
2
The obstacle pallets at [3, 3, 0] is in the warehouse, recommend to move it to somewhere else like [16, 28] or anywhere else in the vacant_area
forklift
The obstacle pallets at [3, 3, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_1_info.json
0
The obstacle good at [3, 3, 0] is in the warehouse, recommend to move it to somewhere else like [1, 4] or anywhere else in the vacant_area
forklift
The obstacle good at [3, 3, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_1_info.json
1
The person suspected of being Ivy has a face matching degree of only 0.6268357778240244 at [0, 1]. It is recommended to drive them away
drone
The person who named Ivy at [0, 1] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_1_info.json
2
The obstacle pallets at [0, 1, 0] is in the warehouse, recommend to move it to somewhere else like [1, 4] or anywhere else in the vacant_area
forklift
The obstacle pallets at [0, 1, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_1_info.json
3
The obstacle sundries at [4, 0, 0] is in the warehouse, recommend to move it to somewhere else like [3, 4] or anywhere else in the vacant_area
forklift
The obstacle sundries at [4, 0, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_1_info.json
4
The person suspected of being Charlie has a face matching degree of only 0.5936616205907226 at [3, 0]. It is recommended to drive them away
drone
The person who named Charlie at [3, 0] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_1_info.json
0
The obstacle pallets at [8, 9, 0] is in the warehouse, recommend to move it to somewhere else like [3, 13] or anywhere else in the vacant_area
forklift
The obstacle pallets at [8, 9, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_1_info.json
1
The obstacle good at [5, 9, 0] is in the warehouse, recommend to move it to somewhere else like [5, 13] or anywhere else in the vacant_area
forklift
The obstacle good at [5, 9, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_1_info.json
2
The obstacle sundries at [9, 5, 0] is in the warehouse, recommend to move it to somewhere else like [6, 13] or anywhere else in the vacant_area
forklift
The obstacle sundries at [9, 5, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_1_info.json
3
The person suspected of being Charlie has a face matching degree of only 0.6624435521821765 at [6, 0]. It is recommended to drive them away
drone
The person who named Charlie at [6, 0] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_1_info.json
0
The obstacle sundries at [18, 18, 0] is in the warehouse, recommend to move it to somewhere else like [9, 28] or anywhere else in the vacant_area
forklift
The obstacle sundries at [18, 18, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_1_info.json
1
The person suspected of being Ivy has a face matching degree of only 0.5875159890999136 at [13, 9]. It is recommended to drive them away
drone
The person who named Ivy at [13, 9] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_1_info.json
2
The obstacle good at [12, 21, 0] is in the warehouse, recommend to move it to somewhere else like [7, 28] or anywhere else in the vacant_area
forklift
The obstacle good at [12, 21, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_1_info.json
3
The person suspected of being Hannah has a face matching degree of only 0.6586263063960733 at [4, 0]. It is recommended to drive them away
drone
The person who named Hannah at [4, 0] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_1_info.json
4
The obstacle sundries at [0, 11, 0] is in the warehouse, recommend to move it to somewhere else like [8, 28] or anywhere else in the vacant_area
forklift
The obstacle sundries at [0, 11, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_2_info.json
0
The obstacle pallets at [2, 3, 0] is in the warehouse, recommend to move it to somewhere else like [4, 4] or anywhere else in the vacant_area
forklift
The obstacle pallets at [2, 3, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_2_info.json
1
The obstacle sundries at [5, 2, 0] is in the warehouse, recommend to move it to somewhere else like [4, 4] or anywhere else in the vacant_area
forklift
The obstacle sundries at [5, 2, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_2_info.json
2
The obstacle good at [5, 0, 0] is in the warehouse, recommend to move it to somewhere else like [4, 4] or anywhere else in the vacant_area
forklift
The obstacle good at [5, 0, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_2_info.json
3
The person suspected of being Hannah has a face matching degree of only 0.6465958556598093 at [3, 0]. It is recommended to drive them away
drone
The person who named Hannah at [3, 0] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_2_info.json
0
The obstacle pallets at [0, 6, 0] is in the warehouse, recommend to move it to somewhere else like [6, 13] or anywhere else in the vacant_area
forklift
The obstacle pallets at [0, 6, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_2_info.json
1
The obstacle sundries at [9, 6, 0] is in the warehouse, recommend to move it to somewhere else like [6, 13] or anywhere else in the vacant_area
forklift
The obstacle sundries at [9, 6, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_2_info.json
2
The person suspected of being Alice has a face matching degree of only 0.5087355496835442 at [6, 12]. It is recommended to drive them away
drone
The person who named Alice at [6, 12] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_2_info.json
3
The obstacle sundries at [8, 6, 0] is in the warehouse, recommend to move it to somewhere else like [1, 13] or anywhere else in the vacant_area
forklift
The obstacle sundries at [8, 6, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_2_info.json
0
The obstacle sundries at [19, 18, 0] is in the warehouse, recommend to move it to somewhere else like [16, 28] or anywhere else in the vacant_area
forklift
The obstacle sundries at [19, 18, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_2_info.json
1
The obstacle good at [3, 18, 0] is in the warehouse, recommend to move it to somewhere else like [7, 28] or anywhere else in the vacant_area
forklift
The obstacle good at [3, 18, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_2_info.json
2
The obstacle good at [13, 3, 0] is in the warehouse, recommend to move it to somewhere else like [11, 28] or anywhere else in the vacant_area
forklift
The obstacle good at [13, 3, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_3_info.json
0
The obstacle sundries at [3, 0, 0] is in the warehouse, recommend to move it to somewhere else like [3, 4] or anywhere else in the vacant_area
forklift
The obstacle sundries at [3, 0, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_3_info.json
1
The person suspected of being Hannah has a face matching degree of only 0.5945683866372897 at [5, 3]. It is recommended to drive them away
drone
The person who named Hannah at [5, 3] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_3_info.json
2
The obstacle good at [5, 0, 0] is in the warehouse, recommend to move it to somewhere else like [1, 4] or anywhere else in the vacant_area
forklift
The obstacle good at [5, 0, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_3_info.json
3
The person suspected of being Alice has a face matching degree of only 0.5898272247279311 at [4, 3]. It is recommended to drive them away
drone
The person who named Alice at [4, 3] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_3_info.json
4
The obstacle sundries at [2, 0, 0] is in the warehouse, recommend to move it to somewhere else like [1, 4] or anywhere else in the vacant_area
forklift
The obstacle sundries at [2, 0, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_3_info.json
5
The person suspected of being Hannah has a face matching degree of only 0.6907359225903777 at [2, 3]. It is recommended to drive them away
drone
The person who named Hannah at [2, 3] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_3_info.json
0
The obstacle sundries at [8, 9, 0] is in the warehouse, recommend to move it to somewhere else like [8, 13] or anywhere else in the vacant_area
forklift
The obstacle sundries at [8, 9, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_3_info.json
1
The obstacle sundries at [0, 5, 0] is in the warehouse, recommend to move it to somewhere else like [4, 13] or anywhere else in the vacant_area
forklift
The obstacle sundries at [0, 5, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_3_info.json
2
The obstacle pallets at [9, 12, 0] is in the warehouse, recommend to move it to somewhere else like [2, 13] or anywhere else in the vacant_area
forklift
The obstacle pallets at [9, 12, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_3_info.json
3
The person suspected of being Ivy has a face matching degree of only 0.5301385000605822 at [0, 5]. It is recommended to drive them away
drone
The person who named Ivy at [0, 5] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_3_info.json
0
The obstacle good at [0, 18, 0] is in the warehouse, recommend to move it to somewhere else like [8, 28] or anywhere else in the vacant_area
forklift
The obstacle good at [0, 18, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_3_info.json
1
The person suspected of being Bob has a face matching degree of only 0.5801784516337812 at [1, 0]. It is recommended to drive them away
drone
The person who named Bob at [1, 0] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_3_info.json
2
The obstacle sundries at [0, 12, 0] is in the warehouse, recommend to move it to somewhere else like [9, 28] or anywhere else in the vacant_area
forklift
The obstacle sundries at [0, 12, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_3_info.json
3
The obstacle pallets at [7, 24, 0] is in the warehouse, recommend to move it to somewhere else like [3, 28] or anywhere else in the vacant_area
forklift
The obstacle pallets at [7, 24, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_4_info.json
0
The obstacle pallets at [4, 5, 0] is in the warehouse, recommend to move it to somewhere else like [4, 4] or anywhere else in the vacant_area
forklift
The obstacle pallets at [4, 5, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_4_info.json
1
The obstacle sundries at [5, 5, 0] is in the warehouse, recommend to move it to somewhere else like [2, 4] or anywhere else in the vacant_area
forklift
The obstacle sundries at [5, 5, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_4_info.json
2
The person suspected of being Frank has a face matching degree of only 0.6526320212655595 at [2, 3]. It is recommended to drive them away
drone
The person who named Frank at [2, 3] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_4_info.json
3
The obstacle sundries at [3, 0, 0] is in the warehouse, recommend to move it to somewhere else like [2, 4] or anywhere else in the vacant_area
forklift
The obstacle sundries at [3, 0, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 6, 'description': 'The number of rows in the warehouse'}, cols: {'value': 6, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all cha...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}}}, forklifts: {'description'...
./Dataset/human_out/task_warehouse/6*6*3_task_warehouse_3_4_info.json
4
The person suspected of being Charlie has a face matching degree of only 0.6339759234788215 at [3, 0]. It is recommended to drive them away
drone
The person who named Charlie at [3, 0] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_4_info.json
0
The obstacle good at [9, 13, 0] is in the warehouse, recommend to move it to somewhere else like [5, 13] or anywhere else in the vacant_area
forklift
The obstacle good at [9, 13, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_4_info.json
1
The obstacle good at [6, 12, 0] is in the warehouse, recommend to move it to somewhere else like [2, 13] or anywhere else in the vacant_area
forklift
The obstacle good at [6, 12, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_4_info.json
2
The person suspected of being Charlie has a face matching degree of only 0.5491894865884318 at [4, 3]. It is recommended to drive them away
drone
The person who named Charlie at [4, 3] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 10, 'description': 'The number of rows in the warehouse'}, cols: {'value': 15, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/10*15*3_task_warehouse_3_4_info.json
3
The obstacle sundries at [2, 3, 0] is in the warehouse, recommend to move it to somewhere else like [1, 13] or anywhere else in the vacant_area
forklift
The obstacle sundries at [2, 3, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_4_info.json
0
The obstacle sundries at [6, 18, 0] is in the warehouse, recommend to move it to somewhere else like [9, 28] or anywhere else in the vacant_area
forklift
The obstacle sundries at [6, 18, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_4_info.json
1
The person suspected of being Frank has a face matching degree of only 0.5625969162619968 at [13, 0]. It is recommended to drive them away
drone
The person who named Frank at [13, 0] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_4_info.json
2
The obstacle sundries at [13, 3, 0] is in the warehouse, recommend to move it to somewhere else like [17, 28] or anywhere else in the vacant_area
forklift
The obstacle sundries at [13, 3, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_4_info.json
3
The person suspected of being Ivy has a face matching degree of only 0.6788132222945247 at [16, 24]. It is recommended to drive them away
drone
The person who named Ivy at [16, 24] with a face matching degree less than 0.7 are no longer in the warehouse
no thinking
HOTL
rows: {'value': 20, 'description': 'The number of rows in the warehouse'}, cols: {'value': 30, 'description': 'Number of columns in the warehouse'}, height: {'value': 3, 'description': 'The number of shelve levels in the warehouse'}, all_aisles: {'description': 'The information of all c...
drones: {'description': 'The information of all drones in the warehouse, with the key being the drone ID and the value being the detailed information of the drone, including ID, coordinates, and mounted devices', 'value': {'1': {'id': 1, 'coord': [0, 0, 0], 'mount': 'RFID'}, '2': {'id': 2, 'coord': [5, 0, 0], ...
./Dataset/human_out/task_warehouse/20*30*3_task_warehouse_3_4_info.json
4
The obstacle good at [1, 18, 0] is in the warehouse, recommend to move it to somewhere else like [18, 28] or anywhere else in the vacant_area
forklift
The obstacle good at [1, 18, 0] is in the warehouse, has moved to somewhere else in the vacant_area
no thinking