1 citations · 1 across the 1 of their papers we have counts for
3 papers
cs.RO2021★ 1 cited
Reinforcement Learning Compensated Extended Kalman Filter for Attitude Estimation
Yujie Tang, Liang Hu, Qingrui Zhang +1
Inertial measurement units are widely used in different fields to estimate the attitude. Many algorithms have been proposed to improve estimation performance. However, most of them…
cs.RO2021
Reinforcement Learning for Orientation Estimation Using Inertial Sensors with Performance Guarantee
Liang Hu, Yujie Tang, Zhipeng Zhou +1
This paper presents a deep reinforcement learning (DRL) algorithm for orientation estimation using inertial sensors combined with magnetometer. The Lyapunov method in control theor…
cs.LG2020
Lyapunov-Based Reinforcement Learning State Estimator
Liang Hu, Chengwei Wu, Wei Pan
In this paper, we consider the state estimation problem for nonlinear stochastic discrete-time systems. We combine Lyapunov's method in control theory and deep reinforcement learni…