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Solution 01

Training data for humanoid robots

Whole-body trajectories, cross-embodiment data, and dexterous manipulation for bipedal platforms.

8
Active humanoid programs
24
Platforms supported
50K+
Trajectories collected
HUMANOID DATA WE COLLECT Whole-body trajectories32 joints Dexterous hand manipulation24 DoF Locomotion + gait patternsbipedal Cross-embodiment transfer8 platforms Loco-manipulationwalk+grab Egocentric video + forcemultimodal PLATFORMS WE SUPPORT Figure01, 02 1XNEO ApptronikApollo AgilityDigit TeslaOptimus SanctuaryPhoenix UnitreeH1, G1 CustomYour platform 24 PLATFORMS

Humanoid robotics data collection

Humanoid data collection covers whole-body trajectories, dexterous hand manipulation, bipedal locomotion, and loco-manipulation — the full stack of behaviors a humanoid policy needs to learn. We collect across 24 platforms so your model transfers across embodiments.

Typical use cases

  • Whole-body imitation learning — 32+ joint trajectories with synchronized force and video
  • Dexterous manipulation — high-DoF hand data for grasping, tool use, and assembly
  • Cross-embodiment transfer — same tasks collected on multiple platforms for generalization
  • Loco-manipulation — walking while manipulating objects in unstructured environments

Why teams partner with us

  • 8 active programs across the leading humanoid platforms
  • 50K+ trajectories collected and delivered
  • Operator specialization — our teams train on your specific platform

Humanoid data is hard

High DoF, full-body coordination, and platform-specific kinematics make humanoid collection the most complex data work in robotics. We’ve built the operator bench and rig fleet to handle it.

8 active humanoid programs.

24 platforms supported.

50K+ trajectories delivered.

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

Explore all locations →

What we collect

What humanoid teams actually train on

Four data classes that bipedal foundation models need but generic data pipelines rarely produce.

Whole-body trajectories

Coordinated upper + lower body kinematics, 30Hz, in your robot frame.

Cross-embodiment data

Same task captured across multiple humanoid morphologies for transfer learning.

Dexterous manipulation

Per-finger joint logs and grasp state for complex object handling.

Loco-manipulation chaining

Walking while carrying, reaching while balancing — the chains that break generic policies.

How we work

From platform setup to cross-embodiment dataset

Four stages that produce humanoid-ready data, not adapted-from-arm data.

1Step 1

Platform setup

Bring up your humanoid or use ours. Joint calibration captured. URDF locked.

2Step 2

Operator training

Whole-body teleoperators trained on your kinematic envelope and balance constraints.

3Step 3

Collection

Trajectories captured against your acceptance bar. Stability and contact monitored.

4Step 4

Cross-embodiment packaging

Same trajectory rendered in multiple morphologies where the platform supports retargeting.

Platforms

Humanoid platforms we run

Production humanoids, research bipeds, and the rigs that retarget between them.

Figure 02

Production

Tesla Optimus

Production

Apptronik Apollo

Production

1X Neo

Production

Unitree H1

Research

Sanctuary Phoenix

Production

What our partners say
Cross-embodiment was the bottleneck. Roborax shipped the same task across three humanoid morphologies in one program. That was the unlock.
Ren Yamamoto
Foundation Model Lead, Striate Humanoid

FAQ

Questions about humanoid robotics programs

Across the spectrum — from pre-alpha hardware needing initial motion primitive data to commercial-stage teams scaling up training data for a specific deployment environment. There is no minimum stage.
The gap between “our policy works in the lab” and “our policy works reliably in varied real-world conditions”. We close that gap by adding diverse, high-quality real-world demonstration data.
Yes. We provide training data for teams building general-purpose robot foundation models that need broad task coverage across multiple platforms and environments.

Further reading

From the blog

Lessons from 50,000 Humanoid Trajectories

What 50,000 trajectories taught us about humanoid data collection.

From the blog

Humanoid Robot Training Data: How Much Do You Need?

Volume requirements for humanoid foundation model training.

Scope a humanoid program

Tell us the platform, the tasks, and the morphology mix. Six weeks to first cross-embodiment batch.

FROM THE FIELD

Humanoid robotics insights