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ManiSkill-HAB PrepareGroceries Dataset

A dataset of 18K episodes with 3.6M transitions for robotic manipulation tasks including picking and placing grocery items in home environments using whole-body control.

Downloads264
Episodes18K

Why This Matters for Physical AI

This dataset enables training of imitation learning and reinforcement learning models for complex whole-body robotic manipulation tasks in home environments, supporting advances in embodied AI for household assistance.

Technical Profile

Modalities
rgbdepthproprioception
Robot Embodiments
humanoid
Action Space
whole-body-control
Environment
simulationhome
Task Types
manipulationgraspingpick_and_placetask-planningrearrangement
Episodes
18K
Data Format
HDF5
Annotation Types
machine-generated
License
mit
Part of the ManiSkill family

Community Signals

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Academic Citations1

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