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260908 Pick Up the Specified Bread Bag
Dataset Description
This dataset contains teleoperated demonstrations collected with the Galaxea R1 Lite robot. Three bread bags are placed at the left, middle, and right positions. In each episode, the robot picks up the specified bread bag using the specified hand.
The demonstrations contain only the picking motion. They do not include a subsequent placing task.
The dataset is stored in the LeRobot dataset format and contains six task instructions based on the target position and the hand used.
Dataset Summary
| Item | Value |
|---|---|
| Robot | Galaxea R1 Lite |
| Collection method | Teleoperation |
| Number of episodes | 140 |
| Number of frames | 44,315 |
| Number of videos | 560 |
| Number of task instructions | 6 |
| Frames per second | 31 FPS |
Task Distribution
| Task instruction | Episodes |
|---|---|
Pick up the left bread bag with the left hand. |
20 |
Pick up the left bread bag with the right hand. |
20 |
Pick up the middle bread bag with the left hand. |
30 |
Pick up the middle bread bag with the right hand. |
30 |
Pick up the right bread bag with the left hand. |
20 |
Pick up the right bread bag with the right hand. |
20 |
| Total | 140 |
Observations
Each episode contains four synchronized RGB camera streams:
| Feature | View | Resolution |
|---|---|---|
observation.images.head_rgb |
Left head camera | 1280 × 720 |
observation.images.head_right_rgb |
Right head camera | 1280 × 720 |
observation.images.left_wrist_rgb |
Left wrist camera | 640 × 360 |
observation.images.right_wrist_rgb |
Right wrist camera | 640 × 360 |
The videos are encoded using AV1 at 31 FPS. The dataset also includes robot proprioceptive observations such as arm joint positions and velocities, gripper states, end-effector poses, chassis and torso states, and IMU measurements.
Actions
The action features include:
- Left and right arm joint targets
- Left and right gripper targets
- Chassis velocity commands
- Torso velocity commands
Intended Use
This dataset is intended for research on robot imitation learning and language-conditioned manipulation, particularly for learning to select an object by spatial position and execute the pickup using a specified hand.
Limitations
- The demonstrations were collected in a single workspace with three bread bags arranged at predefined left, middle, and right positions.
- The middle-position tasks contain more episodes than the left- and right-position tasks.
- The dataset covers picking only and does not include object placement.
- Performance learned from this dataset may not directly generalize to substantially different objects, layouts, lighting conditions, or robot embodiments.
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