PhysicalAI Robotics Manipulation Objects Kitchen MJCF: 3D Assets for Kitchen Simulation

A collection of digital 3D MJCF assets intended for use in a simulated kitchen environment. The assets are divided into two categories: fixtures, which are interactable kitchen appliances, and objects, which are common kitchen items. The dataset was created by NVIDIA and was last updated on March 7, III.

Use Cases

• Training robotic agents for object manipulation based on the collection of common kitchen objects.
• Developing interaction models with kitchen appliances based on the provided fixture assets.
• Benchmarking robotic manipulation performance in a standardized kitchen simulation environment.
• Creating synthetic training data for computer vision models focused on kitchen scenes.

Strengths

• Assets are explicitly categorized into two distinct groups: fixtures and objects.
• Fixture assets include specific, named interactable appliances such as stoves, microwaves, and ovens.
• Object assets include specific, named common items such as saucepans and glass cups.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

NVIDIA

Collection Method

Collection of digital 3D assets created for simulation.

Time Range

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Freshness

Last updated 2026-03-07 00:09:07; freshness should be verified.

Geography

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