Neutrollized2026apache-2.0
LEGO in Bowl FPS30 640x480
A robotics manipulation dataset containing 200 episodes of a robot arm placing LEGO objects in a bowl, captured at 30 FPS with 640x480 resolution from multiple camera viewpoints.
Downloads100
Episodes200
Hours0.773
Why This Matters for Physical AI
This dataset provides multi-view visual and proprioceptive data for learning robotic manipulation skills, enabling training of policies for object manipulation tasks using behavioral cloning or imitation learning approaches.
Technical Profile
- Modalities
- rgbproprioception
- Robot Embodiments
- so_follower
- Action Space
- 6-DoF: shoulder_pan.pos, shoulder_lift.pos, elbow_flex.pos, wrist_flex.pos, wrist_roll.pos, gripper.pos
- Environment
- lab
- Task Types
- manipulationpick_and_place
- Episodes
- 200
- Total Hours
- 0.773
- Data Format
- LeRobot
- License
- apache-2.0
Access
Need custom rgb data?
Claru builds purpose-built datasets for lab applications with dense human annotations and quality assurance.
Request a Sample Pack