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2.7M grasp feasibility labels

Emerging
1papers using it
2026first seen

The '2.7M grasp feasibility labels' dataset contains labels indicating the feasibility of grasps for a 7-DOF manipulator across 88 scanned objects and 190 cluttered tabletop scenes, and it is used to evaluate motion feasibility prediction models in robotics.

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Papers using 2.7M grasp feasibility labels (1)

2.7M grasp feasibility labels — datasets — robotics