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Scenario package

Home Tidy and Declutter

Clearing and tidying living spaces: collecting loose objects, sorting them into bins, and returning them to shelves and drawers.

Registered providerroborecs
Contact the providerConcierge deal desk
Made to order

Roborecs captures this dataset to order. The tasks, modalities, and package size above are the reference scope; exact hours and pricing are agreed per request. It is not an in-stock download: contact the desk below to commission a capture run.

ConsentInformed consent and likeness release, signed per operator
JurisdictionEU jurisdiction by corporate structure
VerificationUnverified

Sample

SAMPLE
REC
No export
Sample, no export

Specification

Modalities
RGBDepthIMUPoseAudio
Sensors
head-mounted multi-view RGB, wrist cameras, depth, 9-axis IMU, audio
Capture
240 Hz capture, 30 Hz output
Scale
1,800 episodes, 45 h, 4,860,000 frames
Size
270 GB
Format
Compatible with Hugging Face LeRobot
Jurisdiction
EU jurisdiction by corporate structure

Tasks and environments

Tasks
collect loose objectssort into binsreturn to shelfclear tablestraighten surface
Capture environments
homeoffice
Declared tasks and capture environments for this dataset.

Datasheet

Motivation
Clearing and tidying living spaces: collecting loose objects, sorting them into bins, and returning them to shelves and drawers.
Composition
Sensors
head-mounted multi-view RGBwrist camerasdepth9-axis IMUaudio
Annotation
task and step labelsepisode segmentationhand posespatial trajectories
Collection process
Egocentric human demonstration with head and wrist cameras, captured in Europe.
De-identification
bystander face blurvoice scrub
Known limitations
This scope has not yet been captured. The tasks, modalities, and episode / hour figures above are a planning estimate for a made-to-order run, agreed and refined per request, not measurements from delivered data.
Version and maintenance

v1.0 · not yet released

Reference scope for a made-to-order capture run. Not yet captured.

Notes

A reference scope for a made-to-order capture run, aimed at long-horizon household policies. Room types, object sets, and hours are agreed per request.

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