Datasets › LfED-6D

LfED-6D (Learning from Experience and Demonstration for 6-DOF Grasping Dataset)

15 Jan 2020 archive 2025-07-28

The LfED-6D dataset is a collection of 6D grasp annotations acquired through experience (with a robot platform) or by human demonstration. For known objects, the annotated grasps can be directly applied given the pose of the object model is correctly computed. For unknown objects, the grasps can be generalized using methods for shape matching, for example the Dense Geometrical Correspondence Network.

Source: LfED-6D

Benchmarks archive 2025-07-28

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Papers archive 2025-07-28

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Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

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License archive 2025-07-28

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Modalities archive 2025-07-28

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • LfED-6D

1 variant name, as the archive lists them.

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