Real-world variation
Similar packaging, transparent or reflective materials and temporarily misplaced products challenge perception. Shelf arrangements and customer traffic change throughout the task.
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DATA FOR REAL-WORLD WORK / 03
Supermarket and retail scenarios
From crowded shelves to capable service.
Train robots to handle diverse products, manage shelves and assist customers in dynamic retail spaces.
Sample access depends on the selected dataset. Use a published sample link when available, or request a sample for evaluation.
The scenario
From crowded shelves to capable service.
Retail scenarios take place in supermarkets, convenience stores, large retail outlets and specialty shops. They connect product recognition and localization with grasping, placement and customer interaction. Tasks include shelf stocking and replenishment, inventory counting, price-label checks, merchandise picking and customer guidance.
Operating environments
Supermarkets, convenience stores, large retail outlets and specialty shops with multilevel shelves and densely arranged products.
Tasks to learn
- 01Stock shelves
- 02Replenish products
- 03Count inventory
- 04Check price labels
- 05Pick merchandise
- 06Guide customers
Data and signals
Records may cover product recognition, spatial localization, grasping and placement, obstacle avoidance and spoken interactions.
Capabilities to develop
Develop merchandise handling, shelf management and coordinated service skills across diverse products and changing retail conditions.
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
Retail
Buy more data
Sample access depends on the selected dataset. Use a published sample link when available, or request a sample for evaluation.