> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nlabel.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Egocentric Data

> First-person video data for embodied AI and robotics

## Overview

Egocentric data is captured from the **first-person perspective** of a human
performing real-world tasks.

This viewpoint preserves:

* Task intent
* Hand–object interactions
* Temporal structure of actions

For robotic systems, egocentric data more closely matches
onboard sensor perspectives than third-person datasets.

***

## Why it matters for robotics

<Columns cols={2}>
  <Card title="Imitation learning" icon="repeat">
    Learn manipulation policies directly from human demonstrations.
  </Card>

  <Card title="Perception alignment" icon="eye">
    Train vision models using viewpoints similar to robot-mounted cameras.
  </Card>

  <Card title="Long-horizon tasks" icon="timeline">
    Capture full task sequences instead of short action clips.
  </Card>

  <Card title="Multimodal grounding" icon="language">
    Align vision, language, and action in a shared context.
  </Card>
</Columns>