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EquiGQNet: Fast Grasp Quality Evaluation via Shared Equivariant Point Cloud Encoding
Planning six-degree-of-freedom (6-DoF) grasps for unseen objects in cluttered tabletop scenes from a single-view depth image requires accurate and efficient evaluation of diverse grasp candidates. Existing early-fusion methods capture local object geometry relative to each grasp candidate but repeat
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