3 papers
cs.RO2025
Robust simultaneous UWB-anchor calibration and robot localization for emergency situations
Xinghua Liu, Ming Cao
In this work, we propose a factor graph optimization (FGO) framework to simultaneously solve the calibration problem for Ultra-WideBand (UWB) anchors and the robot localization pro…
cs.LG2025
High-order Regularization for Machine Learning and Learning-based Control
Xinghua Liu, Ming Cao
The paper proposes a novel regularization procedure for machine learning. The proposed high-order regularization (HR) provides new insight into regularization, which is widely used…
cs.RO2025
High-order regularization dealing with ill-conditioned robot localization problems
Xinghua Liu, Ming Cao
In this work, we propose a high-order regularization method to solve the ill-conditioned problems in robot localization. Numerical solutions to robot localization problems are ofte…