2 citations · 4 across the 5 of their papers we have counts for
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cs.RO2022
Robotic Assembly Control Reconfiguration Based on Transfer Reinforcement Learning for Objects with Different Geometric Features
Yuhang Gai, Bing Wang, Jiwen Zhang +2
Robotic force-based compliance control is a preferred approach to achieve high-precision assembly tasks. When the geometric features of assembly objects are asymmetric or irregular…
cs.RO2022★ 1 cited
Local Connection Reinforcement Learning Method for Efficient Control of Robotic Peg-in-Hole Assembly
Yuhang Gai, Jiwen Zhang, Dan Wu +1
Traditional control methods of robotic peg-in-hole assembly rely on complex contact state analysis. Reinforcement learning (RL) is gradually becoming a preferred method of controll…
cs.RO2019★ 2 cited
Fast Skill Learning for Variable Compliance Robotic Assembly
Tianyu Ren, Yunfei Dong, Dan Wu +1
The robotic assembly represents a group of benchmark problems for reinforcement learning and variable compliance control that features sophisticated contact manipulation. One of th…