Defective SKU pick failure library

This is a custom capture program that deliberately builds a library of pick failures on defective or unusual packaging. We capture near-miss grasps, drops, crushes, and recovery attempts, each tagged with the packaging defect that caused it, so your evaluation reflects operational risk. Because failures are rare, they have to be captured on purpose; a happy-path dataset hides exactly the behavior that slows real throughput.

What we collect

Near-miss grasps, drops, and recovery attempts with packaging defect tags, organized into a structured failure taxonomy rather than scattered through a success-heavy log.

Sensors and modalities

Multi-camera RGB-D and proprioception, time-aligned through our multi-sensor synchronization service so the moment of failure is captured precisely.

How capture works

We co-define the failure taxonomy and sampling ratios, then run scripted and opportunistic capture under safety review, following our edge-case data collection methodology.

QA and metadata

Each episode is labeled with failure class, packaging defect, and outcome. Sampling targets and QA gates are set in the statement of work to hit the success-to-failure balance your evaluation needs.

Who it is for

Warehouse teams and evaluation groups building honest benchmarks for warehouse automation. Complements clean warehouse pallet pick teleoperation capture by supplying the tail your success data omits.