CLARU
Team-RAMENcc-by-4.0

RAMEN G1 IKEA Assembly — RAMEN-Ori rotate_leg_to_tighten

A curated subset of 290 episodes (232,634 frames) from the BitRobot G1 IKEA assembly dataset, focusing on the rotate_leg_to_tighten skill for the Unitree G1 humanoid robot with Dex1-1 gripper. Includes multi-camera RGB/IR imagery with YOLO-OBB object detection overlays and augmented frame variants for training the RAMEN-Ori policy.

Downloads21
Episodes290
Hours2.2

Why This Matters for Physical AI

This dataset provides high-quality multi-modal demonstrations of fine-grained assembly manipulation for humanoid robots, with object detection annotations that enable learning robust visuomotor policies for complex real-world tasks.

Technical Profile

Modalities
rgbinfraredproprioception
Robot Embodiments
Unitree G1humanoid
Action Space
joint_positions
Environment
lab
Task Types
manipulationassembly
Episodes
290
Total Hours
2.2
Data Format
LeRobot
Annotation Types
bounding_boxescuration_labelsobject_detection
License
cc-by-4.0
Part of the RAMEN G1 IKEA Assembly family

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