52 citations · 57 across the 5 of their papers we have counts for
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cs.RO2021★ 2 cited
Density-based Curriculum for Multi-goal Reinforcement Learning with Sparse Rewards
Deyu Yang, Hanbo Zhang, Xuguang Lan +1
Multi-goal reinforcement learning (RL) aims to qualify the agent to accomplish multi-goal tasks, which is of great importance in learning scalable robotic manipulation skills. Howe…
cs.CV2021★ 2 cited
MBDF-Net: Multi-Branch Deep Fusion Network for 3D Object Detection
Xun Tan, Xingyu Chen, Guowei Zhang +2
Point clouds and images could provide complementary information when representing 3D objects. Fusing the two kinds of data usually helps to improve the detection results. However,…
cs.RO2021★ 1 cited
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in Clutter
Hanbo Zhang, Deyu Yang, Han Wang +4
Despite the impressive progress achieved in robotic grasping, robots are not skilled in sophisticated tasks (e.g. search and grasp a specified target in clutter). Such tasks involv…