KTK-2025
INTERNAL RESEARCH UNIT
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LIVE DATA COLLECTION

HUMANOID
DATA
INFRASTRUCTURE

Factory-embedded data collection for the robotics era. We capture, process, and deliver manipulation trajectories at scale.

30K+Hours Captured
3M+Trajectories
10-15mmPose Accuracy
24/7Pipeline Active

WHAT WE DO

End-to-end humanoid data infrastructure from factory floor to training pipeline.

SVC-01

Data Collection

Factory-embedded researchers capturing real-world manipulation data across industrial environments.

  • Egocentric video capture
  • Multi-view wrist cameras
  • Motion capture ground truth
  • Continuous deployment
SVC-02

Data Processing

Automated extraction of high-fidelity hand trajectories from raw video streams.

  • 3D pose estimation
  • Depth-enhanced extraction
  • Temporal smoothing
  • Physics validation
SVC-03

Data Delivery

Training-ready trajectory datasets for humanoid robot learning systems.

  • Standardized formats
  • Task-labeled sequences
  • API access
  • Custom programs

THE PROBLEM

Humanoid robots need to learn manipulation from human demonstrations. Current approaches don't scale.

Real factory data • Sub-mm accuracy
Teleoperation

Expensive hardware. Slow collection. Limited to lab environments. Doesn't scale to real-world complexity.

Simulation

Sim-to-real gap. Limited task diversity. Unrealistic physics. Synthetic artifacts that don't transfer.

Internet Video

No depth data. No 3D poses. Noisy labels. Inconsistent viewpoints. No ground truth validation.

Our Solution

Dedicated data infrastructure — real humans, real tasks, real factories. Physics-validated trajectories at scale.

FROM FACTORY TO TRAINING. THREE ACTIONABLE DATA PRODUCTS, UPDATED CONTINUOUSLY.

VID-01

Raw Video Streams

Egocentric factory footage. Multi-view optional. Bulk licensing available.

TRJ-02

Extracted Trajectories

3D hand joint sequences. Quality-filtered and physics-validated.

DSK-03

Task-Labeled Datasets

Annotated manipulation primitives with domain-specific taxonomies.

RESEARCH-GRADE EXTRACTION PIPELINE

Our pipeline combines state-of-the-art pose estimation with monocular depth, multi-view triangulation, and temporal consistency.

Video input

Raw egocentric and wrist camera feeds captured at high frame rates for precision.

Depth estimation

Monocular metric depth using Depth Pro for accurate 3D scene reconstruction.

Pose extraction

3D body and hand mesh recovery with sub-millimeter accuracy.

Multi-view fusion

Triangulation across camera views with temporal smoothing for consistency.

Physics validation

Every trajectory validated against biomechanical constraints and filtered.

Data delivery

Petabyte-scale storage with streaming delivery and API endpoints.

OTONOMY IS BUILDING HUMANOID DATA INFRASTRUCTURE TO CAPTURE AND PROCESS MANIPULATION TRAJECTORIES AT SCALE.

OUR STACK

Multi-Camera Capture System

Head-mounted egocentric cameras paired with dual wrist cameras, integrated with motion capture for ground truth validation.

Capture

State-of-the-Art Pose Extraction

SAM 3D body estimation combined with Depth Pro monocular depth and multi-view triangulation for precise 3D trajectories.

Extraction

Physics-Based Quality Validation

Every trajectory validated against biomechanical constraints, anatomical checks, and confidence scoring with human review.

Quality

Scalable Cloud Infrastructure

GPU compute clusters with petabyte-scale storage, streaming delivery, and comprehensive API endpoints for data access.

Infrastructure
VIEW TECHNICAL SPECS →

Frequently Asked Questions

If you can't find an answer here, reach out to us at akash.otonomy@gmail.com

We capture factory-embedded manipulation data using head-mounted egocentric cameras paired with dual wrist cameras. This includes raw video streams, 3D hand joint trajectories, and task-labeled manipulation sequences. All data is integrated with motion capture systems for ground truth validation.

Our pipeline achieves 10-15mm pose accuracy using state-of-the-art SAM 3D body estimation combined with Depth Pro monocular depth and multi-view triangulation. Every trajectory is validated against biomechanical constraints and undergoes physics-based quality validation with human review.

Teleoperation requires expensive hardware and is limited to lab environments. Simulation suffers from the sim-to-real gap and unrealistic physics. Internet video lacks depth data and ground truth. Our dedicated infrastructure captures real humans performing real tasks in real factories, providing physics-validated trajectories at scale without these limitations.

We deliver training-ready datasets in standardized formats compatible with major robotics frameworks. This includes raw video streams, extracted 3D joint trajectories (quality-filtered and physics-validated), and task-labeled sequences with domain-specific taxonomies. Data is accessible via streaming delivery and comprehensive API endpoints.

Our infrastructure has captured over 30,000 hours of manipulation data, resulting in more than 3 million trajectories. Our pipeline runs 24/7, continuously collecting and processing new data from factory environments. Scalable storage ensures we can grow to meet any training requirements.

Yes, we offer custom data collection programs tailored to your specific manipulation tasks and industrial environments. Our forward-deployed research teams can capture data for your unique use cases. Contact us to discuss your requirements and we'll design a collection program that fits your needs.