6IMPOSE: bridging the reality gap in 6D pose estimation for robotic grasping
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6D pose recognition has been a crucial factor in the success of robotic grasping, and recent deep learning based approaches have achieved remarkable results on benchmarks. However, their generalization capabilities in real-world applications remain unclear. To... ...