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Egocentric video, hand pose, gaze tracking, and force gloves for VLA pre-training.
Human demonstration is the process of a trained operator physically performing a task — grasping, pouring, assembling, navigating — while wearable sensors capture hand pose, gaze direction, body motion, and egocentric video. The resulting dataset teaches a policy how a human actually solves the task, not how a script approximates it.
Collecting demonstration data in-house means recruiting skilled operators, sourcing sensor rigs, building a logging pipeline, and running QA across thousands of episodes. We compress that into a managed program.
Why outsource demonstrations?
Your research team should be training models, not managing capture sessions. We handle recruitment, hardware, and quality so you get clean episodes on schedule.
50,000+ hours collected to date.
40 Hz hand pose tracking across all rigs.
3 continents of operator coverage.
Where we collect
41+ delivery centers across 12 countries. Every program runs from a Roborax hub near your target time zone.
Asia Pacific
India · Philippines
Americas
USA · Canada · Colombia · Jamaica · El Salvador · Belize
EMEA
UK · Albania · Kosovo · Morocco
Egocentric capture across hands, gaze, scene, and force — synchronized into a single timeline.
First-person scene capture at 60fps, calibrated for VLA pre-training.
Per-finger joint angles plus grasp state, at 40Hz.
Operator gaze fused with scene video for attention modeling.
Glove-based force data for contact-rich tasks.
A four-stage pipeline that lands clean multi-modal data in your bucket every week.
Spec the task domain and the demonstration patterns. Coverage matrix locked.
Train demonstrators on the capture protocol. Per-task acceptance criteria reviewed.
Synchronized multi-modal recording. On-rig validation flags drift.
Annotated, time-aligned dataset delivered as bag files or your custom format.
Best-in-class hardware for each modality.
Research glasses
Hand tracking
Per-finger gloves
Gaze glasses
Egocentric video
3rd-person sync
FAQ
From the blog
VR Teleop vs. Physical DemonstrationWhich method produces better training data and when.
From the blog
Teleop Operator Fatigue: The Hidden VariableHow fatigue affects data quality and what to do about it.
Specify the scene domain and modality mix. We scope a sized program in two days.
FROM THE FIELD
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Seven services. One synchronized pipeline.
VR and leader-follower robot control logging.
RGB-D, LiDAR, force, and tactile streams.
Bounding boxes, segmentation, action labels.
Domain-randomized scenes and sim transfers.
Held-out test sets and success-rate scoring.
Rare scenarios your policy will face in production.
