Combine Affordance map with active exploration policy by deep reinforcement learning to increase manipulation success rate. Especially, we designed a composite robotic manipulator including two paralleled fingers and a suction cup. By introducing promising strategy into grasping process, we make a definite improvement on robot grasping in clutter scenes.
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Robot Grasping in Cluttered Environment with DQN&Affordance
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Xiaofeng-Guo/Active-Perception
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Robot Grasping in Cluttered Environment with DQN&Affordance
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