Guide · 2026
Robot training data from hospitality work: what labs need, and what a clean pilot looks like.
Humanoid and manipulation models learn from first-person video of people doing real tasks. Housekeeping, kitchen and laundry work is exactly the kind of repeated, procedural manipulation those models need. This guide sets out what a lab-grade capture program has to get right, based on the pilot Hospara is preparing for Q4 2026.
Direct answer
First-person (egocentric) video of housekeeping, kitchen, laundry, pool and garden tasks, captured to a specification agreed with a robotics lab, with a consent chain covering the property, the worker and any incidental capture. It is used to train manipulation and humanoid models. Hospara is preparing a Q4 2026 pilot in Bali.
What egocentric video is
Video recorded from the worker's point of view, usually with a head-mounted phone or camera, showing hands, tools and objects during a task. Labs use it to pre-train and fine-tune models that map perception to action. It is video only unless extra sensors are added; it does not contain robot actions, joint states or depth by itself.
Why hospitality tasks
Bed making, bathroom reset, mopping, dishwashing, folding, pool skimming and garden work are repeated hundreds of times a week, follow written procedures, and involve deformable objects, liquids, tools and varied lighting. That combination is scarce in existing datasets, which skew to kitchens in a few countries.
What a specification contains
Task family, repetitions, camera device and mount, angle, resolution and frame rate, pace, left and right handed operators, failure and recovery cases, lighting conditions, environment variety, and the acceptance criteria the buyer's QA will apply. Capture without a specification produces footage nobody can use.
The consent chain
A separate, specific authorisation from each property owner; a signed participation agreement per worker in their own language; recording only in vacant units; a capture-prevention policy for guests, documents and screens; blur before export; a per-clip consent log; and a written quarantine and deletion procedure for accidental capture. Under Indonesia's PDP Law, lawful basis and cross-border transfer safeguards are reviewed with counsel before anything leaves the country.
Delivery
Task-segmented clips with timestamps and JSON manifests, blur applied, consent log per clip. Packaging in RLDS or LeRobot directory layouts on request, carrying video and manifests only. Annotation of hands or objects through partners on request.
How Hospara is approaching it
A Q4 2026 pilot in participating Bali properties, starting with a paid calibration stage in one or two authorised units, then volume agreed per specification. Nothing has been recorded or delivered yet. Details on the labs page.
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