CLARU
nvidia2025Nvidia Non-Commercial License

PhysicalAI-Robotics-Manipulation-Objects

A dataset of automatically generated robotic manipulation motions in kitchen environments, created using IsaacSim with reasoning algorithms and optimization-based motion planning. The dataset includes pick, place_bench, and place_cabinet tasks performed by a bimanual Kinova Gen3 manipulator.

Downloads1K
Episodes540
Likes8

Why This Matters for Physical AI

This dataset provides large-scale synthetic training data for learning robot manipulation policies in realistic kitchen scenarios with multiple camera viewpoints and rich semantic annotations.

Technical Profile

Modalities
rgbdepthproprioceptionsegmentation
Robot Embodiments
bimanual manipulator with Kinova Gen3 arms
Action Space
joint_positions
Environment
simulationkitchen
Task Types
pick_and_placepickingplacing
Episodes
540
Data Format
LeRobot
Annotation Types
semantic_segmentation
License
Nvidia Non-Commercial License
Part of the PhysicalAI-Robotics-Manipulation-Objects family

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