Warehouse Robotics Task Assignments
This dataset provides detailed, event-level logs of warehouse robotics task assignments, capturing robot actions, inventory movements, path metrics, timing, and efficiency scores. It enables granular analysis of robot performance, task throughput, and operational bottlenecks, making it ideal for optimizing warehouse automation and robotics workflows.
Sample rows
preview · 8 of 200 rows · all 20 columns| task_idstring | task_typestring | efficiency_scorefloat | end_location_zonestring | robot_idstring | inventory_item_idstring | start_location_zonestring | start_location_binstring | end_location_binstring | path_assignedstring | path_distance_metersfloat | task_assigned_timedatetime | task_start_timedatetime | task_end_timedatetime | task_statusstring | items_moved_countinteger | task_duration_secondsfloat | robot_battery_level_startfloat | robot_battery_level_endfloat | errors_encounteredstring |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| T0001 | pick | 0.98 | B2 | R002 | I32013 | A1 | B12 | B23 | P101 | 12.6 | 2024-05-01T08:02:11 | 2024-05-01T08:03:10 | 2024-05-01T08:05:34 | completed | 3 | 144 | 97 | 95.6 | blank |
| T0002 | move | 0.18 | E1 | R005 | blank | OUTBOUND | blank | B05 | P245 | 201.4 | 2024-05-01T08:15:55 | 2024-05-01T08:16:19 | 2024-05-01T08:52:05 | failed | blank | 2146 | 37.8 | 26.6 | E109, E401 |
| T0003 | restock | 0.91 | C2 | R011 | I12743 | INBOUND | DOCK2 | B67 | P132 | 113.8 | 2024-05-01T08:17:10 | 2024-05-01T08:17:59 | 2024-05-01T08:40:44 | completed | 22 | 1365 | 89.1 | 85.3 | blank |
| T0004 | inventory_check | 0.95 | QA | R007 | blank | QA | blank | blank | P078 | 0.7 | 2024-05-01T08:21:03 | 2024-05-01T08:21:10 | 2024-05-01T08:24:55 | completed | blank | 225 | 81.9 | 81 | blank |
| T0005 | place | 0.93 | OUTBOUND | R001 | I33119 | PACKING | TABLE1 | DOCK3 | P054 | 42.2 | 2024-05-01T08:27:44 | 2024-05-01T08:27:55 | 2024-05-01T08:36:04 | completed | 55 | 489 | 53.9 | 51.7 | blank |
| T0006 | pick | 0.99 | C1 | R014 | I20456 | B4 | B18 | B51 | P017 | 8.3 | 2024-05-01T09:00:33 | 2024-05-01T09:01:08 | 2024-05-01T09:02:59 | completed | 2 | 111 | 99.4 | 98.3 | blank |
| T0007 | move | 0.59 | A4 | R008 | blank | D6 | B44 | B03 | P209 | 191.5 | 2024-05-01T09:09:54 | 2024-05-01T09:10:15 | 2024-05-01T09:27:24 | completed | blank | 1029 | 58.3 | 49.7 | blank |
| T0008 | pick | 0.97 | A3 | R006 | I52718 | D2 | B61 | B07 | P088 | 17.1 | 2024-05-01T09:21:30 | 2024-05-01T09:22:20 | 2024-05-01T09:24:00 | completed | 4 | 100 | 95 | 94 | blank |
| T0009 | restock | 0.89 | B4 | R003 | I42713 | INBOUND | DOCK4 | B12 | P161 | 44.5 | 2024-05-01T09:35:02 | 2024-05-01T09:35:40 | 2024-05-01T09:45:28 | completed | 17 | 588 | 80.3 | 78.1 | blank |
| T0010 | inventory_check | 0.96 | C2 | R002 | blank | C2 | blank | blank | P105 | 0.2 | 2024-05-01T09:58:22 | 2024-05-01T09:58:58 | 2024-05-01T10:00:09 | completed | blank | 71 | 92.5 | 92.3 | blank |
| T0011 | move | 0.29 | A7 | R010 | blank | E8 | blank | B16 | P222 | 134.7 | 2024-05-01T10:14:42 | 2024-05-01T10:15:00 | 2024-05-01T10:58:01 | in_progress | blank | 2581 | 23.8 | 11.6 | E207 |
| T0012 | restock | 0.85 | D8 | R005 | I11345 | INBOUND | DOCK3 | B55 | P137 | 57.3 | 2024-05-01T11:05:12 | 2024-05-01T11:05:46 | 2024-05-01T11:21:02 | completed | 38 | 916 | 73.7 | 71.1 | blank |
| T0013 | pick | 0.96 | A1 | R015 | I11206 | B2 | B33 | B09 | P109 | 15.9 | 2024-05-01T11:22:44 | 2024-05-01T11:23:23 | 2024-05-01T11:25:45 | completed | 1 | 142 | 93.5 | 92.8 | blank |
| T0014 | place | 0.92 | OUTBOUND | R006 | I21354 | A2 | B22 | DOCK2 | P065 | 29.1 | 2024-05-01T11:26:35 | 2024-05-01T11:27:00 | 2024-05-01T11:32:30 | completed | 46 | 330 | 43.7 | 42.5 | blank |
| T0015 | restock | 0.62 | D5 | R004 | I40987 | INBOUND | DOCK5 | B92 | P122 | 151.5 | 2024-05-01T11:41:39 | 2024-05-01T11:42:20 | 2024-05-01T12:02:10 | cancelled | 41 | 1189 | 60.1 | 55.4 | E113 |
| T0016 | pick | 0.99 | B2 | R008 | I31872 | C4 | B47 | B32 | P111 | 7.9 | 2024-05-01T12:08:22 | 2024-05-01T12:09:10 | 2024-05-01T12:10:31 | completed | 2 | 81 | 97.8 | 96.8 | blank |
| T0017 | inventory_check | 0.97 | B4 | R001 | blank | B4 | B15 | blank | P080 | 0.1 | 2024-05-01T12:32:11 | 2024-05-01T12:32:45 | 2024-05-01T12:34:03 | completed | blank | 78 | 84.2 | 84.1 | blank |
| T0018 | move | 0.09 | E8 | R012 | blank | C8 | blank | blank | P205 | 265 | 2024-05-01T12:36:48 | 2024-05-01T12:37:18 | 2024-05-01T13:21:20 | failed | blank | 2642 | 35.2 | 18.3 | E301, E207 |
| T0019 | restock | 0.74 | D8 | R009 | I50102 | INBOUND | DOCK1 | B86 | P129 | 61.3 | 2024-05-01T13:01:25 | 2024-05-01T13:02:10 | 2024-05-01T13:23:12 | completed | 64 | 1262 | 75.3 | 72.2 | blank |
| T0020 | pick | 0.94 | A6 | R007 | I12001 | A3 | B07 | B25 | P102 | 19.7 | 2024-05-01T13:35:23 | 2024-05-01T13:36:03 | 2024-05-01T13:39:02 | completed | 5 | 179 | 91.4 | 89.8 | blank |
What the 200 rows show
from the 200-row sampleMove (task type) stands out: mean efficiency_
- 0.91median efficiency_
score - 4task statuses
- 23robots
- 30start location zones
- 23.5median path_
distance_ meters - 28median items_
moved_ count
Median 0.91, from 0.01 to 1.0.
- string 11
- integer 1
- float 5
- datetime 3
Columns
20 columns in three groups| column | type | description | example |
|---|---|---|---|
| Text 11 columns | |||
task_id | string | Unique identifier for each robotics task assignmentunique | T0001 |
robot_id | string | Identifier for the robot assigned to the task | R002 |
task_type | string | Type of task assigned (e.g., pick, place, move, inventory_check, restock)pick · place · move · inventory_check · restock | pick |
inventory_item_id | string | Identifier for the inventory item involved in the task, if applicableoptional | I32013 |
start_location_zone | string | Zone or section in the warehouse where the task starts | A1 |
start_location_bin | string | Specific bin or shelf at the start locationoptional | B12 |
end_location_zone | string | Zone or section in the warehouse where the task ends | B2 |
end_location_bin | string | Specific bin or shelf at the end locationoptional | B23 |
path_assigned | string | Identifier or label for the path assigned to the robot for this task | P101 |
task_status | string | Status of the task (e.g., assigned, in_progress, completed, failed, cancelled)assigned · in_progress · completed · failed · cancelled | completed |
errors_encountered | string | Comma-separated list of error codes or messages encountered during the task, if anyoptional | E109, E401 |
| Numbers 6 columns | |||
path_distance_meters | float | Total distance in meters for the assigned path0 or more | 12.6 |
items_moved_count | integer | Number of inventory items moved during the task, if applicable0 or more · optional | 3 |
task_duration_seconds | float | Total duration of the task in seconds0 or more | 144 |
robot_battery_level_start | float | Battery level of the robot (percentage) at the start of the task0 to 100 · optional | 97 |
robot_battery_level_end | float | Battery level of the robot (percentage) at the end of the task0 to 100 · optional | 95.6 |
efficiency_score | float | Calculated efficiency score for the task (e.g., 0.0-1.0, where 1.0 is optimal)0 to 1 · optional | 0.98 |
| Dates and times 3 columns | |||
task_assigned_time | datetime | Timestamp when the task was assigned to the robot | 2024-05-01T08:02:11 |
task_start_time | datetime | Timestamp when the robot started the task | 2024-05-01T08:03:10 |
task_end_time | datetime | Timestamp when the robot completed the task | 2024-05-01T08:05:34 |
Use it for
A logistics dashboard
Efficiency_
score by task_ type and a breakdown of end_ location_ zone. Excel, Power BI or Tableau. Why do the 43 move rows have a mean efficiency_
score of 0.20? A root-cause class exercise
Hand out the rows and one question. The answer is in the data, not in the brief.
- Tasks200T00010.98pickT00020.18moveT00030.91restock
A software demo
Believable tasks with robot_
id, task_ type and inventory_ item_ id to fill a screen in front of a buyer.
blueprint · warehouse-robotics-task-assignments
Behind this dataset
Same schema. As many rows as you need.
These 200 rows came out of a blueprint — 20 columns with generation rules behind each one. Open it in Data Factory to retune a column, add your own, wire in foreign keys, and run it at the size you actually need.
- Record robot ID, task type, and location
- Simulate dynamic inventory and replenishment
- Tag successful vs. failed task attempts
- Include efficiency and collision events
1 credit per row. Preview 20 rows free. Buy rows for the full run.
- Exports
- CSV, JSON, JSONL, Parquet, SQL, Excel, TSV, XML
- Licence
- yours to use, including commercially
- API slug
- warehouse-robotics-task-assignments