Warehouse Robotics Data Collection

Warehouse robotics data collection captures the picking, placing, palletizing, and AMR navigation behaviors that robots perform in real distribution environments, with the SKU, lighting, and aisle variability that operations actually contain. Operant runs capture during live operations or staged lanes, with synchronized sensors and deliberate tail-event coverage. The result is warehouse training data that reflects operational reality, not a sanitized lab.

Warehouse tasks

Warehouse automation spans manipulation and navigation: grasping varied SKUs, tote and bin picking, conveyor handoffs, pallet building, and autonomous mobile robot routing through shared aisles. We scope capture across the tasks your fleet performs, with examples like bin picking teleoperation capture, warehouse pallet pick teleoperation, and conveyor handoff.

Modalities

We capture synchronized multi-camera RGB-D, depth, proprioception, and control streams, plus AMR sensor stacks, aligned through our multi-sensor synchronization service. Most manipulation demonstrations are gathered via teleoperation capture.

Tail behaviors

Warehouses are full of edge cases, SKU variability, dropped items, occluded grasps, and aisle interference. We capture these deliberately through edge-case data collection so your evaluation reflects the failures that actually slow throughput. AMR obstacle handling is illustrated by AMR aisle obstacle navigation.

Safety and ops

Capturing during live operations requires safety review and lane scheduling, agreed during scoping, so collection never disrupts throughput or safety.

FAQ

Can capture run during live operations? Yes, with safety review and lane scheduling agreed during scoping; staged lanes are also an option.

Do you handle SKU and lighting variability? Yes, operational variability is a capture target, not something to be controlled away.

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