Liang Xiao

 

Xiao Liang 

Gender: Male
Department: Institute of Robotics and Automatic Information System
Professional ranks: Associate Professor
Education: Doctor
Major: Control theory and control engineering
Email: liangx@nankai.edu.cn
Research scope: UAV intelligent control and perception (aerial transportation, aerial manipulation), motion planning, nonlinear control

Personal profile

Scientific research projects, achievements, and awards

Publications

Lecture course

Organizational memberships and contributions 

[Personal profile]

 Basic information: Xiao Liang, born in 1991, was selected into the Young Elite Scientists Sponsorship Program by Tianjin.

The main research fields include UAV motion planning and nonlinear control, multi robot cooperative control, aerial manipulation and other unmanned system intelligent control. In 2018, he graduated from Nankai University under the guidance of Professor Yongchun Fang. In 2018, he joined the College of Artificial Intelligence of Nankai University and served as an assistant to Professor Jianda Han.

 

 Students' enrollment: ~ ^ o ^ ~ [welcome to contact me at any time for postgraduate entrance examination, postgraduate guarantee, undergraduate students who want to enter the laboratory for exercise in advance, and young talents interested in relevant research: liangx@nankai.edu.cn ]~^o^~

You are also welcome to discuss with the students of the research group to understand the research situation:

Hai Yu (graduated from Jilin University with a bachelor's degree, yuhai@mail.nankai.edu.cn At present, he is engaged in the research of load automatic lifting control by aerial transportation system.

Zhuang Zhang (graduated from Hebei University with a bachelor's degree, zhangzhuang@mail.nankai.edu.cn Currently engaged in the design of multi UAV cooperative control and planning methods.

Yang Wang (graduated from Nankai University with a bachelor's degree, 1711494@mail.nankai.edu.cn At present, he is engaged in control of multiple UAVs.

Zhaopeng Zhang (graduated from Nankai University with a bachelor's degree, 1711510@mail.nankai.edu.cn At present, he is engaged in perception and operation of aerial manipulator system.

Tengfei Pei (Senior students of Jilin University, peitf2018@mails.jlu.edu.cn Currently engaged in aircraft agile maneuver planning and control.

 

 Research interests:

(1) Autonomous unmanned aerial vehicle system; 

(2) Intelligent control of aerial transportation and manipulation systems; 

(3) Cooperative perception and operation of multiple unmanned systems


[Scientific research projects, achievements, and awards]

 Research Projects

Project supported by the National Natural Science Foundation of China: Control of Aerial Transportation Systems with Double-Pendulum Swing Effects

Project supported by the Young Elite Scientists Sponsorship Program by Tianjin

Project supported by the Natural Science Foundation of Tianjin: Research on Autonomous Control Methods of Aerial Suspended Systems for Safe Transportation

Project supported by the China Postdoctoral Science Foundation

Project supported by the State Key Laboratory of Robotics

 guide students in scientific research / competition

In 2021, the directed paper entered the Final List of the Best Paper Award of IEEE CYBER Conference



[Publications]

Nonlinear control for aerial transportation systems with double-pendulum swing effects, IEEE Transactions on Industrial Electronics, 2021, 68(7): 6020–6030.

Adaptive nonlinear hierarchical control for a rotorcraft transporting a cable-suspended payload, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2019.8.19, doi: 10.1109/TSMC.2019.2931812.

A novel energy-coupling-based hierarchical control approach for unmanned quadrotor transportation systems, IEEE/ASME Transactions on Mechatronics, 2019.2, 24(1): 248–259.

Dynamics analysis and time-optimal motion planning for unmanned quadrotor transportation systems, Mechatronics, 2018, 50: 16–29.

A novel nonlinear control scheme for double-pendulum quadrotor transportation systems. IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2019.

Dynamics modeling and analysis for unmanned quadrotor transportation systems with double-pendulum swing effects. IEEE International Conference on Advanced Robotics and Mechatronics (ICARM), 2019.

A novel nonlinear backstepping-based control approach for quadrotor unmanned aerial vehicle transportation systems. Proceedings of the 2017 Chinese Control Conference, Dalian, China, 2017: 884–889.

A hierarchical controller for quadrotor unmanned aerial vehicle transportation systems. Proceedings of the 2016 Chinese Control Conference, Chengdu, China, 2016: 6148–6153.


[Lecture course]

Required course for Undergraduates: Modern Control Theory

Required course for Postgraduates: Lecture on Information Frontier (single lecture)


[Organizational memberships and contributions]

Member of Youth Committee of Chinese Association of Automation

Member of Discontinuous Control Systems of TCCT

IEEE Member

Member of Chinese Association for Artificial Intelligence - Professional Committee of Intelligent Service

Editor of Journal Européen des Systèmes Automatisés [EI]

Editor of Frontiers in Neurorobotics [SCI]

Session Chair / Co-chair of ICARM 2020, CYBER 2018 and CCC 2017

PC member of RCAR 2021, ICONIP 2021, EECR 2021, RCAR 2020, ICONIP 2020, ICONIP 2018, CYBER 2018

Reviewers of more than 30 journals and conferences, such as IEEE-ASME TMECH, IEEE TSMC, IEEE TCYB and IEEE TCST