Real-world variation
Goods vary in dimensions, weight, packaging and stacking. Shelf occlusions, intersecting traffic, temporary obstacles and limited loading space add operational constraints.
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DATA FOR REAL-WORLD WORK / 04
Warehousing and transport scenarios
Learn the flow. Handle the unexpected.
Connect recognition, handling and transport with shared data for warehouse and logistics workflows.
Sample access depends on the selected dataset. Use a published sample link when available, or request a sample for evaluation.
The scenario
Learn the flow. Handle the unexpected.
Warehousing and transport scenarios span receiving areas, storage zones, sorting stations, loading docks and internal transport routes. They capture continuous workflows from recognizing and localizing goods to moving and placing them, including goods intake, palletizing, order picking, parcel sorting, packing and short-distance transport.
Operating environments
Receiving areas, storage zones, sorting stations, loading docks and internal warehouse transport routes.
Tasks to learn
- 01Receive goods
- 02Palletize and depalletize
- 03Pick orders
- 04Sort parcels
- 05Pack goods
- 06Transport over short distances
Data and signals
Data may document cargo conditions, grasp points, movement trajectories, handling poses and handover outcomes across the workflow.
Capabilities to develop
Train coordinated operations between warehouse robots and transport equipment, adaptable picking strategies and manipulation in constrained or complex spaces.
See the work in context.
Dedicated spaces for scene photography and task videos. Published media will show the environment and the actions captured.
Scenario image
Task demonstration video
Warehousing & transport
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Sample access depends on the selected dataset. Use a published sample link when available, or request a sample for evaluation.