CLARU
XDUImageLabapache-2.0

SandGO Dataset (v1.0)

A long-horizon multimodal dataset designed for embodied AI and robot learning, containing state-action sequences, multi-view RGB images, LiDAR point clouds, depth point clouds, and natural language instructions for training Vision-Language-Action models.

Downloads9K
Episodes168
Likes1

Why This Matters for Physical AI

SandGO provides high-quality long-horizon multimodal demonstrations with natural language annotations to train embodied AI systems capable of following complex instructions through vision-language-action learning.

Technical Profile

Modalities
rgbdepthpoint_cloudproprioceptionlanguage
Robot Embodiments
mobile_manipulator
Action Space
joint_positions_and_velocities
Environment
lab
Task Types
manipulationgraspingnavigationpick_and_placeobstacle_avoidance
Episodes
168
Data Format
NumPy arrays and JPEG images
Annotation Types
language_instructionsaction_labelssegmentation
License
apache-2.0
Part of the SandGO family

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