88 citations · 174 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
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…
Social-VRNN: One-Shot Multi-modal Trajectory Prediction for Interacting Pedestrians
Bruno Brito, Hai Zhu, Wei Pan +1
Prediction of human motions is key for safe navigation of autonomous robots among humans. In cluttered environments, several motion hypotheses may exist for a pedestrian, due to it…
Actor-Critic Reinforcement Learning for Control with Stability Guarantee
Minghao Han, Lixian Zhang, Jun Wang +1
Reinforcement Learning (RL) and its integration with deep learning have achieved impressive performance in various robotic control tasks, ranging from motion planning and navigatio…