42 citations · 53 across the 11 of their papers we have counts for
11 papers
SOMTP: Self-Supervised Learning-Based Optimizer for MPC-Based Safe Trajectory Planning Problems in Robotics
Yifan Liu, You Wang, Guang Li
Model Predictive Control (MPC)-based trajectory planning has been widely used in robotics, and incorporating Control Barrier Function (CBF) constraints into MPC can greatly improve…
Adaptive Model Prediction Control-Based Multi-Terrain Trajectory Tracking Framework for Mobile Spherical Robots
Yifan Liu, Tao Hu, Xiaoqing Guan +4
Owing to uncertainties in both kinematics and dynamics, the current trajectory tracking framework for mobile robots like spherical robots cannot function effectively on multiple te…
Discrete States-Based Trajectory Planning for Nonholonomic Robots
Ziyi Zou, Ziang Zhang, Zhen Lu +4
Due to nonholonomic dynamics, the motion planning of nonholonomic robots is always a difficult problem. This letter presents a Discrete States-based Trajectory Planning(DSTP) algor…
An MPC-based Optimal Motion Control Framework for Pendulum-driven Spherical Robots
Tao Hu, Xiaoqing Guan, Yixu Wang +5
Motion control is essential for all autonomous mobile robots, and even more so for spherical robots. Due to the uniqueness of the spherical robot, its motion control must not only…
Direction and Trajectory Tracking Control for Nonholonomic Spherical Robot by Combining Sliding Mode Controller and Model Prediction Controller
Yifan Liu, Yixu Wang, Xiaoqing Guan +6
Spherical robot is a nonlinear, nonholonomic and unstable system which increases the difficulty of the direction and trajectory tracking problem. In this study, we propose a new di…
Unsupervised cross-user adaptation in taste sensation recognition based on surface electromyography with conformal prediction and domain regularized component analysis
Hengyang Wang, Xianghao Zhan, Li Liu +5
Human taste sensation can be qualitatively described with surface electromyography. However, the pattern recognition models trained on one subject (the source domain) do not genera…
CPSC: Conformal prediction with shrunken centroids for efficient prediction reliability quantification and data augmentation, a case in alternative herbal medicine classification with electronic nose
Li Liu, Xianghao Zhan, Xikai Yang +6
In machine learning applications, the reliability of predictions is significant for assisted decision and risk control. As an effective framework to quantify the prediction reliabi…
Sequence-to-Sequence Voice Reconstruction for Silent Speech in a Tonal Language
Huiyan Li, Haohong Lin, You Wang +6
Silent Speech Decoding (SSD), based on articulatory neuromuscular activities, has become a prevalent task of Brain-Computer Interface (BCI) in recent years. Many works have been de…
Classifying herbal medicine origins by temporal and spectral data mining of electronic nose
Li Liu, Xianghao Zhan, Ziheng Duan +6
The origins of herbal medicines are important for their treatment effect, which could be potentially distinguished by electronic nose system. As the odor fingerprint of herbal medi…
Boost AI Power: Data Augmentation Strategies with unlabelled Data and Conformal Prediction, a Case in Alternative Herbal Medicine Discrimination with Electronic Nose
Li Liu, Xianghao Zhan, Rumeng Wu +7
Electronic nose has been proven to be effective in alternative herbal medicine classification, but due to the nature of supervised learning, previous research heavily relies on the…
A review of smartphones based indoor positioning: challenges and applications
Khuong An Nguyen, Zhiyuan Luo, Guang Li +1
The continual proliferation of mobile devices has encouraged much effort in using the smartphones for indoor positioning. This article is dedicated to review the most recent and in…