CLARU
airvlab2024MIT

Grasp-Anything-6D

A large-scale dataset for language-driven 6-DoF grasp detection built upon the Grasp-Anything dataset, containing point clouds, 3D masks, grasp poses, and natural language instructions.

Downloads239
Likes9

Why This Matters for Physical AI

This dataset enables training of language-conditioned 6-DoF grasp detection models, which are essential for enabling robots to understand natural language instructions and perform precise object grasping in diverse scenarios.

Technical Profile

Modalities
point_cloudlanguage
Action Space
end_effector_6dof
Environment
simulation
Task Types
graspinggrasp_detection
Data Format
npy, pkl
Annotation Types
language_instructionssegmentationgrasp_poses
License
MIT
Part of the Grasp-Anything family

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