CLARU
elementrobotics2025cc0-1.0

LunarSim Rover Traverse Synthetic Dataset V1

Synthetic lunar surface dataset generated using NVIDIA Isaac Sim, featuring a forward-facing rover camera traversing terrain near Shoemaker crater at the lunar south pole. Includes RGB images, depth maps, semantic/instance segmentation masks, and COCO-format rock detection annotations.

Downloads3K
Episodes1
Hours0.11

Why This Matters for Physical AI

This dataset enables training of robust lunar rover perception models for rock detection and terrain classification, supporting sim-to-real transfer learning for autonomous navigation and hazard avoidance in extraterrestrial environments.

Technical Profile

Modalities
rgbdepth
Robot Embodiments
rover
Environment
simulation
Task Types
object-detectionimage-segmentationdepth-estimationnavigation
Episodes
1
Total Hours
0.11
Data Format
COCO
Annotation Types
bounding_boxessegmentationinstance_segmentationsemantic_segmentation
License
cc0-1.0
Part of the LunarSim Rover Traverse Synthetic Dataset V1 family

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