CLARU
alibustamicc-by-4.0

MiniVLA-Nav v1

A simulation dataset for language-conditioned robot navigation where an NVIDIA Nova Carter differential-drive robot must navigate to named objects across four photorealistic Isaac Sim environments given natural-language instructions.

Downloads135
Episodes1174

Why This Matters for Physical AI

This dataset enables training of language-conditioned navigation policies through behavior cloning and provides structured out-of-distribution evaluation splits for assessing generalization to novel object categories and instruction paraphrases.

Technical Profile

Modalities
rgbdepthsegmentationproprioception
Robot Embodiments
Nova Carter
Action Space
differential_drive_velocity
Environment
simulation
Task Types
navigationobject_approachlanguage_conditioned
Episodes
1174
Data Format
numpy
Annotation Types
language_instructionsaction_labelssegmentation
License
cc-by-4.0
Part of the MiniVLA-Nav family

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