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RoboNav-Pinfo: Personalized Object Navigation Dataset

Expert demonstration trajectories for personalized object-goal navigation in household environments, collected using a Stretch robot in AI2-THOR. The dataset contains ~52K trajectories across 429 houses with personalized information (knowledge base text and reference images).

Downloads545
Episodes~52K
Likes1

Why This Matters for Physical AI

This dataset enables training of embodied AI agents for personalized object navigation in household environments, combining vision, language understanding, and navigation in simulated homes relevant to real-world robotic applications.

Technical Profile

Modalities
rgblanguage
Robot Embodiments
Stretch
Action Space
language
Environment
simulation
Task Types
navigationobject_goal_navigation
Episodes
~52K
Data Format
HDF5
Annotation Types
language_instructionsaction_labelsbounding_boxesreward_labels
License
mit
Part of the RoboNav-Pinfo: Personalized Object Navigation Dataset family

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