GCNGrasp-v2

GCNGrasp-v2 is a task-oriented grasp (TOG) model that simultaneously performs grasp evaluation and affordance field prediction with constant-time inference complexity $\mathcal{O}(1)$. It is the core component of the GCNGrasp-VP framework, enabling efficient robotic grasping under occlusions through affordance-guided view planning.

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Paper for TongZJ/GCNGrasp-v2