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Yixuan Guo

Research direction:Powered knee-ankle prosthesis, Surgical robot

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Yixuan Guo received Ph.D degree in Mechanical Engineering from Huazhong University of Science and Technology in September 2021. Her research area includes powered knee-ankle prosthesis, surgical robots, and collaborative robotic arms. In recent years, she has presided scientific research projects which are from National Natural Science Foundation, Guangdong Basic and Applied Basic Research Foundation and Shenzhen Science and Technology Program. She has published more than 10 SCI papers in high-level journals, published 1 academic book, and applied for/authorized more than 10 patents. She has won the Outstanding postdoctoral president of Southern University of Science and Technology and the Hubei Province science and technology progress third prize.

Education:
◆ July 2021   Ph.D. ME, Huazhong University of Science and Technology, China
◆ July 2016   B.S. ME,
 Zhengzhou University, China

Work Experience:
◆ August 2024- present

Southern University of Science and Technology

Lecturer, Department of  Mechanical and Energy Engineering


◆ October 2022- August 2024   

Southern University of Science and Technology

Postdoctor, Department of  Mechanical and Energy Engineering


◆ September 2021- September 2022   

Wuhan University of Science and Technology

Lecturer, School of Information Science and Engineering

 

Honor
◆ 2023   Outstanding postdoctoral president of Southern University of Science and Technology

◆ 2024   Hubei Province science and technology progress third prize

◆ 2013   National Scholarship, China

 2014   National Encouragement scholarship, China

 2016   Outstanding graduates of Henan Province

 

 

Representative Papers

Yixuan Guo, Bao Song, Xiaoqi Tang, Chenglong Fu. A distance calibration method for kinematic parameters of serial industrial robots considering the accuracy of relative position. Measurement, 2022, 204(30): 111842.

Yixuan Guo, Zhouxiang Jiang, Bao Song, Xiaoqi Tang, Yuanlong Xie, Chenglong Fu. A calibration method for tool frame in the three-dimensional measurement system based on R-test. International Journal of Advanced Manufacturing Technology, 2023, 128: 1353-1364.

Yixuan Guo, Bao Song, Xiaoqi Tang, Xiangdong Zhou, Zhouxiang Jiang. A calibration method of non-contact R-test for error measurement of industrial robots. Measurement, 2020, 13(1): 108365.

Yixuan Guo, Bao Song, Xiaoqi Tang. A measurement method for calibrating kinematic parameters of industrial robots with point constraint by a laser displacement sensor. Measurement Science and Technology, 2020, 31(7): 075004.

Yixuan Guo, Xiaoqi Tang, Xiangdong Zhou, Bao Song, Zhouxiang Jiang, Yuanlong Xie. Continuous measurements with single setup for position-dependent geometric errors of rotary axes on five-axis machine tools by a laser displacement sensor. International Journal of Advanced Manufacturing Technology, 2018, 99: 1589-1602.

Zhouxiang Jiang, Min Huang, Xiaoqi Tang, Bao Song, Yixuan Guo. Elasto-geometrical calibration of six-DOF serial robots using multiple identification models. Robotics and Computer-Integrated Manufacturing, 2021, 157: 104211.

Zhouxiang Jiang, Min Huang, Xiaoqi Tang, Yixuan Guo. A new calibration method for joint-dependent geometric errors of industrial robot based on multiple identification spaces. Robotics and Computer-Integrated Manufacturing, 2021, 71: 102175.

Zhouxiang Jiang, Min Huang, Xiaoqi Tang, Yixuan Guo. Observability index optimization of robot calibration based on multiple identification spaces. Autonomous Robots, 2020,44: 1029-1046.

Yuanlong Xie, Xiaogi Tang, Bao Song, Xiangdong Zhou, Yixuan Guo. Data-driven adaptive fractional order PI control for PMSM servo system with measurement noise and data dropouts. ISA Transactions, 2018, 75: 172-188.

Yuanlong Xie, Xiaogi Tang, Bao Song, Xiangdong Zhou, Yixuan Guo. Iterative-learning integral-plus-proportional control of a flexible swing arm system for position trajectory tracking. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 2019, 233(11): 3769-3784.