Retail Robotics Data Collection

Retail robotics data collection captures the shelf facing, restocking, and aisle navigation behaviors robots perform in real stores, with shopper traffic, planogram clutter, and SKU packaging that warehouse data never includes. Operant scopes capture to your store format and assortment, during hours or on staged aisles, with synchronized RGB-D and the occlusions that hide a facing. The result is in-store training data matched to the floor your robot will work.

Store tasks

Retail programs include facing, slotting, backroom-to-shelf moves, and slow aisle navigation around people. Retail shelf restocking teleoperation is the core manipulation scenario; retail aisle inventory scan covers perception around shoppers. Distribution-center pick, pallet, and AMR work stays on warehouse robotics data collection; a store is a different lighting, traffic, and planogram problem. Commercial cook and plate stations belong on foodservice robotics data collection, not the sales floor.

Modalities

We capture synchronized multi-camera RGB-D and gripper or base state, aligned through our multi-sensor synchronization service. Shelf work is usually teleoperation capture so operators can show the last-inch facing that open pick datasets skip.

Tail behaviors

Crowded shelves, reflective packaging, missing labels, and shopper interruption are capture targets via edge-case data collection, not noise to clean away.

Safety and ops

Live-store capture needs hours, customer paths, and consent rules agreed in scoping. Staged planograms are an option when the floor cannot pause.

FAQ

How is this different from warehouse capture? Retail robotics data collection is the store floor: shoppers, facings, and assortment. Warehouse programs cover DC pick and AMR aisles.

Can you run overnight in a closed store? Yes, when that matches operations. Daytime capture is also in scope if traffic is part of the eval.

This vertical is part of Operant's broader robotics data collection practice.