Case studies

Dataset programs that moved training forward

Anonymized engagement patterns showing how robotics and embodied AI teams commission demonstration data. Replace with named logos as customers approve.

01. Manipulation startup

Challenge

Needed thousands of demos of contact-rich pick-and-place with proprietary parts; in-house capture blocked the model milestone.

Approach

Custom task scripts, multi-camera RGB-D, action annotation, weekly validation batches.

Deliverables

Versioned episodes, QA reports, LeRobot-oriented package.

Outcome

Policy training started on schedule; QA failure modes informed a second capture round.

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02. Research lab: VLA evaluation

Challenge

Required egocentric human demos with language instructions for benchmarking.

Approach

Egocentric capture plus language annotation taxonomy aligned to the lab ontology.

Deliverables

Annotated episodes and schema manifest with reproducible splits.

Outcome

Stable evaluation splits for paper experiments without running field ops.

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03. OEM dexterity evaluation

Challenge

Needed synchronized RGB-D on a fixed fixture set for internal dexterity benchmarks.

Approach

Calibrated RGB-D capture, sync verification, and HDF5 packaging for an internal loader.

Deliverables

RGB-D episodes, calibration logs, QA summary.

Outcome

Repeatable benchmark corpus shared across firmware and ML teams.

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