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Pages

Posts

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portfolio

publications

A high-order regularization method and approximate solution

Published in Benelux Meeting on Systems and Control, 2023

This work is about the high-order regularization method and its application in ill-conditioned inverse problems in robot localization.

Recommended citation: Xinghua, Liu and Ming, Cao. "A high-order regularization method and approximate solution." The 42nd Benelux Meeting on Systems and Control , 2023, p. 198. https://LiuxhRobotAI.github.io/files/A-high-order-regularization-method-and-approximate-solution.pdf

High-order regularization in machine learning and learning-based control

Published in Benelux Meeting on Systems and Control, 2024

This work is about the high-order regularization in machine learning and learning-based control.

Recommended citation: Xinghua, Liu and Ming, Cao. "High-order regularization in machine learning and learning-based control." The 43rd Benelux Meeting on Systems and Control, 2024, p. 80. https://LiuxhRobotAI.github.io/files/High-order-regularization-in-machine-learning-and-learning-based-control.pdf

talks

teaching

TA, robotics for IEM 2022

Master course, University of Groningen, DTPA, 2022

TA for a course Robotics for IEM (Industrial Engineering and Management) 2022 at the University of Groningen, Groningen, The Netherlands.

TA, robotics for IEM 2023

Master course, University of Groningen, DTPA, 2023

TA for a course Robotics for IEM 2023 at the University of Groningen, Groningen, The Netherlands.