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Gripper-aware learning can drastically enhance robotic manipulation, with GVLA outperforming existing models in adaptability and performance across diverse tasks.
Current robotic grasping methods struggle, with success rates under 70% in complex scenarios that demand reasoning and semantic understanding.
