Chapter Secretary General
Associate Professor
School of Intelligence Science and Technology
Institute of Artificial Intelligence
University of Science and Technology Beijing
Gender: Male
Nationality: China
E-mail: yuxinbo17@ustb.edu.cn
Address: School of Intelligence Science and Technology, University of Science and Technology Beijing (USTB), 30 Xueyuan Road, Haidian District, Beijing 100083, China
Work Experiences
Aug. 2022-Present Associate Professor
School of Intelligence Science and Technology
University of Science and Technology Beijing (USTB)
Aug. 2020-Present Associate Professor
Institute of Artificial Intelligence
University of Science and Technology Beijing (USTB)
Aug. 2020-Present Postdoctoral Fellow
University of Science and Technology Beijing (USTB)
Education Background
Sep. 2016-Apr. 2020 PhD
School of Automation and Electrical Engineering
University of Science & Technology Beijing
Supervisor: Prof. Wei He.
Sep. 2013-Jun. 2016 Master of Engineering
School of Mechanical and Electrical Engineering
Guilin University of Electronic Technology
Sep. 2009-Jun. 2013 Bachelor of Engineering
School of Automation and Electrical Engineering
University of Science & Technology Beijing
Research Interests
- Intelligent Control of Robotics
- Human Robot Collaboration
Selected Publications
- Xinbo Yu, Bin Li, Wei He*, Yanghe Feng, Long Cheng and Carlos Silvestre, “Adaptive-constrained impedance control for human–robot co-transportation”, IEEE Transactions on Cybernetics, 2021.
- Xinbo Yu, Wei He*, Qing Li, Yanan Li and Bin Li, “Human-robot co-carrying using visual and force sensing”, IEEE Transactions on Industrial Electronics, 2020.
- Xinbo Yu, Wei He*, Yanan Li, Chengqian Xue, Jianqiang Li, Jianxiao Zou and Chenguang Yang, “Bayesian estimation of human impedance and motion intention for human-robot collaboration”, IEEE Transactions on Cybernetics, 2020.
- Xinbo Yu, Wei He*, Hongyi Li and Jian Sun, “Adaptive fuzzy full-state and output feedback control for uncertain robots with output constraint”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, 2020.
- Xinbo Yu, Peisen Liu, Wei He*, Qi Chen, Yu Liu and Liang Ding, “Human-Robot Variable Impedance Skills Transfer Learning Based on Dynamic Movement Primitives”, IEEE Robotics and Automation Letters, 2022.
Awards and Achievements
Outstanding Reviewers of SCIENCE CHINA Information Sciences, Robotic Intelligence and Automation.
Funding Experiences
- PI, “Modeling and Control of Human-Robot Collaborative Carrying Systems”, supported by the National Natural Science Funds of China, 240,000 RMB, January 2021- December 2023.
- PI, “Modeling and Intelligent Control of Human-Robot Collaborative Transporting Systems”, supported by China Postdoctoral Science Foundation, 180,000 RMB, November 2020- November 2022.
- PI, “Research on Visual-Haptic Hybrid Control for Human-Robot Contact Collaboration”, supported by China Postdoctoral Science Foundation, 80,000 RMB, June 2021- June 2023.
- PI, “Research and Design of Human-Robot Cooperation System in Flexible Manufacturing”, supported by the Scientific and Technological Innovation Foundation of Shunde Graduate School, USTB, 300,000 RMB, January 2021- December 2022.
- Co-investigator, “Interaction Modeling and Control of Intelligent Autonomous Vehicles”, supported by National Natural Science Funds of China, 1,500,000 RMB, January 2021- December 2023.
- Co-investigator, “Control of Floating Wave Energy Converters with Mooring Systems”, supported by National Natural Science Funds of China, 500,000 RMB+111.000 GBP, March 2017- March 2020.
Services
- Reviewers of IEEE Transactions on Robotics, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Control Systems Technology, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Transactions on Human-Machine Systems, Science China Information Sciences, Robotic Intelligence and Automation;
- Members of IEEE, Chinese Association of Automation, Beijing Association of Automation, IEEE SMC Beijing Chapter Region.
Short Biography
Xinbo Yu (Member, IEEE) received the B.E. degree in control technology and instrument and the Ph.D. degree in control science and engineering from the School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China, in 2013 and 2020, respectively. He is currently working as an Associate Professor with the School of Automation and Electrical Engineering, Institute of Artificial Intelligence, University of Science and Technology Beijing. His current research interests include adaptive NNs control, robotics and human–robot interaction, intelligent robot control, and human–robot collaboration.