13 citations · 25 across the 7 of their papers we have counts for
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cs.RO2020
Modular Transfer Learning with Transition Mismatch Compensation for Excessive Disturbance Rejection
Tianming Wang, Wenjie Lu, Huan Yu +1
Underwater robots in shallow waters usually suffer from strong wave forces, which may frequently exceed robot's control constraints. Learning-based controllers are suitable for dis…
cs.RO2019
A2: Extracting Cyclic Switchings from DOB-nets for Rejecting Excessive Disturbances
Wenjie Lu, Dikai Liu
Reinforcement Learning (RL) is limited in practice by its gray-box nature, which is responsible for insufficient trustiness from users, unsatisfied interpretation for human interve…
cs.RO2019★ 4 cited
DOB-Net: Actively Rejecting Unknown Excessive Time-Varying Disturbances
Tianming Wang, Wenjie Lu, Zheng Yan +1
This paper presents an observer-integrated Reinforcement Learning (RL) approach, called Disturbance OBserver Network (DOB-Net), for robots operating in environments where disturban…