AuraOne
Domain Lab

Prove it in simulation. Ship it to the real world.
Your robot demonstrations need quality scoring before they become training data. AI scores every trajectory. You export in native format.
For embodied AI teams where sim-to-real transfer determines ship dates.

Capture teleoperation sessions from Figure 01, 1X Neo, Tesla Optimus, Franka Panda. AI scores jerk, contact severity, and e-stop latency. Export to RLDS/OpenX/HDF5.

Your first run

10 teleoperation sessions. Quality-scored trajectories. First RLDS export same day.

AI LabsDomain LabsTrustScore™ Workforce
Export formats
RLDS / OpenX / HDF5

Native binary export for RT-2, Octo, and other VLA architectures.

Compliance frameworks
ISO 10218 / Safety

Safety validation evidence for deployment review and certification.

Pre-built agent
trajectory-scorer

Jerk, contact severity, e-stop latency scoring with per-trajectory gates.

Focus Areas

What this lab is built for.

Surfaces designed for scientists, operators, and executives. Every output is versioned with provenance so no work is lost.

Teleoperation Capture

Quality data from real demonstrations.

  • Capture teleoperation sessions from Figure 01, 1X Neo, Tesla Optimus, Franka Panda
  • Per-trajectory quality scoring (jerk, contact severity, e-stop latency)
  • Dataset-level drift detection and quality gates (pass/warn/fail)

Safety Validation

Verify before you deploy.

  • Collision avoidance testing with evidence capture
  • Force limit verification and emergency stop validation
  • Safety criteria enforcement with reviewer sign-off

Native Training Export

Your data, your format.

  • Real .h5 files via h5wasm for HDF5 consumers
  • TFRecord with CRC32C framing for RLDS pipelines
  • Gzipped tar bundles with SHA-256 checksums for OpenX
Signature Workflow

How Robotics runs.

Automated evaluation. Expert routing. Regression-tested releases.

Step 1

Capture

Record demonstrations.

  • Capture teleoperation sessions with sensor telemetry
  • Score trajectory quality from real sensor data (jerk, contact, e-stop)
  • Gate trajectories as pass/warn/fail before they enter the dataset
Step 2

Validate

Prove safety and performance.

  • Run safety checks against program-defined criteria
  • Execute performance benchmarks and regression tests
  • Route failures and edge cases to reviewers with full context
Step 3

Export

Native format for your training pipeline.

  • Export to RLDS, OpenX, or HDF5 in native binary format
  • Data loads directly into RT-2, Octo, and VLA architectures
  • Export deployment evidence for safety review and certification

Overview

Capture your teleoperation sessions and get per-trajectory quality scoring from real sensor telemetry — then export in native binary format to RLDS, OpenX, or HDF5 for your training pipeline. AuraOne Robotics supports Figure 01, 1X Neo, Tesla Optimus, and Franka Panda out of the box.

Robotics capsule

Your robot demonstrations need quality scoring before they become training data. AI scores every trajectory. You export in native format.

  • Capture teleoperation sessions from Figure 01, 1X Neo, Tesla Optimus, Franka Panda. AI scores jerk, contact severity, and e-stop latency. Export to RLDS/OpenX/HDF5.
  • RLDS / OpenX / HDF5 Export formats
  • Focus: Teleoperation Capture
  • Workflow: Capture

Quality from real telemetry

Jerk, contact severity, and e-stop latency computed from actual sensor data. Per-trajectory quality gates (pass/warn/fail) with dataset-level drift detection. No proxy metrics.

Robotics capsule

Your robot demonstrations need quality scoring before they become training data. AI scores every trajectory. You export in native format.

  • Capture teleoperation sessions from Figure 01, 1X Neo, Tesla Optimus, Franka Panda. AI scores jerk, contact severity, and e-stop latency. Export to RLDS/OpenX/HDF5.
  • RLDS / OpenX / HDF5 Export formats
  • Focus: Teleoperation Capture
  • Workflow: Capture

Native binary export

Real .h5 files via h5wasm, TFRecord with CRC32C framing for RLDS, and gzipped tar bundles with SHA-256 checksums for OpenX. Your data loads directly into RT-2, Octo, and other VLA architectures without conversion.

Robotics capsule

Your robot demonstrations need quality scoring before they become training data. AI scores every trajectory. You export in native format.

  • Capture teleoperation sessions from Figure 01, 1X Neo, Tesla Optimus, Franka Panda. AI scores jerk, contact severity, and e-stop latency. Export to RLDS/OpenX/HDF5.
  • RLDS / OpenX / HDF5 Export formats
  • Focus: Teleoperation Capture
  • Workflow: Capture

Proof hooks

Evidence that stays attached

This is what the system is designed to record for Robotics workflows. Metrics and outcomes depend on your deployment and must be validated in staging and production.

ISO 10218 / Safety
Safety validation evidence for deployment review and certification.
Trajectory quality
Per-trajectory quality gates with jerk, contact, and e-stop metrics.
Export checksums
SHA-256 checksums on RLDS, OpenX, and HDF5 exports for integrity.
Want the security and evidence model? Start in the Trust Center.
Visit Trust Center

Start your Robotics Lab.

One session. First lab running.