01 · ROBOT DATA CAPTURE

First-person data for
embodied intelligence.

An EGO camera system turns a human demonstration into structured sensor data — helping robotics teams create the visual context their models need to learn from action.

Operator wearing an EGO capture rig while working with a robot in a lab

SYSTEM FOCUS

When the robot learns from demonstration, the capture system has to preserve the point of view, timing and context.

PROJECT PATH

HUMAN POV

Head-mounted multi-camera rigs designed around use

CAPTURE PERSPECTIVE

SYNCED SENSORS

Scalable data collection for robot demonstration

DATA INTEGRITY

ROBOT READY

Calibration and synchronization designed into the system

TRAINING CONTEXT

Embodied AI use cases

A human point of view becomes useful robotic context.

EGO systems give data teams a structured way to observe human demonstration without losing the physical setting around the action.

Manipulation datasets

Record the object, hands, tools and local scene details that define a real task sequence.

Operator expertise

Turn repeatable expert actions into data that can be reviewed, annotated and used for training.

Research environments

Configure a capture system around changing labs, robots and collection protocols instead of forcing a fixed camera product.

PROJECT OUTPUTS

A capture system, not just a rig

Each system is planned around the person who wears it and the data team who works with its output.

Wearability study

Mounting, balance, cable routing and field of view considered around the intended collection session.

Sensor synchronization

A defined architecture for visual, inertial and optional audio signals across the rig.

Dataset handoff map

An explicit route from capture to storage, review and downstream data processing.

PROJECT PATH

Progress with evidence, not assumptions.

01
Map the demonstration
02
Fit the wearable system
03
Calibrate the capture
04
Run collection at scale

ENGINEERING QUESTIONS

The conversations that shape the system.

01Can the rig be adapted for different operators?

Yes. Wearability and adjustment range are considered before hardware choices are finalized.

02Can a lab use the same system across tasks?

Yes. We plan for modular cameras, mounting and collection modes when the research workflow needs it.

03What makes the data robot-ready?

Perspective, timing, calibration and metadata need to remain connected so the recordings retain their training context.

ORIVERX / INDUSTRIES / 01

First-person data forembodied intelligence.