LITCHI EGO
A head-mounted first-person data collection device that turns what you see and do into training data. It records RGB × 4, depth, IMU and audio in sync, and with the T1 Pro data collection glove captures hand motion on the same timeline.
Record every part of the task from the human point of view.
LITCHI EGO is a head-mounted data collection device developed by LITCHI. A hybrid of four wide-angle RGB cameras and one structured-light stereo depth camera records both hands, the body and the workspace from a first-person view.
- Hybrid of 4 RGB cameras + 1 depth camera
- Built-in 9-axis IMU (500 Hz) and four microphones
- Under 400 g, continuous collection with magnetic swappable batteries
Recommended: the EGO + T1 Pro set
EGO records what the operator saw and where they worked; T1 Pro records how the hands moved and where and how hard they touched. The two devices share one timeline with sync error under 1 ms, producing data ready for robot imitation learning.
| Recorded by EGO | First-person RGB video (×4), depth, head motion (9-axis IMU), audio |
|---|---|
| Recorded by T1 Pro | Finger joint angles, 3D hand position and orientation and synchronized two-hand motion from 11 IMUs + tactile data from 368 points across the palm |
| Combined | Records “look → reach → grasp → apply force” on one timeline, with no alignment needed in post-processing |
* If you would like us to handle everything from setting up collection to processing and annotation, our data collection service is also available. Contact HumansX to discuss configurations.
What a first-person view can record
Wide, deep and precise: designed for first-person data
Field of view, depth, motion and sync: everything training data needs, in one head-mounted device.
- 最大 1920 × 1200 @ 30 fps
- Global shutter
- 空間精度 < 0.5%(1 m)
- 1280 × 800 @ 30 fps、H 90° / V 65°
- 9軸 IMU 500 Hz
- Image–IMU sync < 1 ms
- EGO × T1 Pro 同期 < 1 ms
- External trigger input supported
Stable through long and repeated collection sessions
From the human view to model capability
- Building real-world datasets: large-scale recording of real work across regions, industries and tasks
- Multimodal and physical world-model training: synchronized vision, depth, inertial and audio data
- Research on human work behavior: reproduce observation, movement and manipulation in real environments
- Robot manipulation learning: combined with T1 Pro as a data foundation for imitation and task learning
Documentation