2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.RO2023
Learning to Solve Tasks with Exploring Prior Behaviours
Ruiqi Zhu, Siyuan Li, Tianhong Dai +2
Demonstrations are widely used in Deep Reinforcement Learning (DRL) for facilitating solving tasks with sparse rewards. However, the tasks in real-world scenarios can often have va…
cs.RO2022★ 1 cited
Deep Reinforcement Learning Based Semi-Autonomous Control for Robotic Surgery
Ruiqi Zhu, Dandan Zhang, Benny Lo
In recent decades, the tremendous benefits surgical robots have brought to surgeons and patients have been witnessed. With the dexterous operation and the great precision, surgical…
cs.RO2022★ 2 cited
Human-Robot Shared Control for Surgical Robot Based on Context-Aware Sim-to-Real Adaptation
Dandan Zhang, Zicong Wu, Junhong Chen +10
Human-robot shared control, which integrates the advantages of both humans and robots, is an effective approach to facilitate efficient surgical operation. Learning from demonstrat…