Abstract: This paper addresses the challenges of applying deep reinforcement learning (RL) to robotic grasping tasks, focusing on bridging the sim-to-real gap to ensure seamless transfer from ...
Abstract: This paper studies the problem of surface defect detection of metal parts in small samples. In the production process of some important metal parts, such as surface defects of aircraft ...
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