Performance Analysis and Optimization of Parallel Manipulators / Research on Intelligent Manufacturing (PDF)

Qinchuan Li, born in 1975, is currently a professor and a Ph.D. supervisor at Zhejiang Sci-Tech University, China. He received his Ph.D. degree in mechanism design and theory

from Yanshan University, China, in 2003. His research interests include mechanism theory and application of parallel manipulators and minimally invasive surgical robots. He has published more than 80 refereed full papers in engineering design and robotics journals. He received the financial support of the National Science Foundation for Distinguished Young Scholars in 2015.

Chao Yang, born in 1982, received a B.E. degree in Process Equipment and Control Engineering from Zhengzhou University of Light Industry, Zhengzhou, China, in 2005, an M.E. degree in engineering mechanics from Dalian University of Technology, Dalian, China, in 2009, and a Ph.D. degree in mechanical engineering from Zhejiang Sci-Tech University, Hangzhou, China, in 2019. Dr. Chao Yang joined the faculty of mechanical engineering, Jiaxing University, in 2019, where he is currently a lecturer. His main research interests include kinematics, stiffness, dynamics, and multi-objective optimization of parallel manipulators. Since 2018, Dr. Yang has published 11 peer-reviewed technical papers in international journals and conferences.



Lingmin Xu, born in 1993, received his B.E. and Ph.D. degrees in Mechanical Engineering from Zhejiang Sci-Tech University, Hangzhou, China, in 2015 and 2021, respectively. From November 2018 to November 2019, he was a visiting graduate student at the University of Illinois at Chicago, Chicago, USA. Dr. Xu is currently a postdoc with the School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China. He has authored more than 20 articles in journals and conferences. He has applied for more than 20 patents and authorized a U.S. invention patent as the first inventor. His research interests include type synthesis, kinematics performance evaluation, and