Yongjie Zhao
Papers
21
Total Citations
331
H-Index
9
About
Yongjie Zhao is a robotics researcher whose work spans parallel robot dynamics, kinematic optimization, and bioinspired robotic systems. He has made particularly significant contributions to the dynamic modeling and control of parallel manipulators, establishing himself as an authority in applying the principle of virtual work and link Jacobian matrices to complex robotic systems. His 2008 study on the inverse dynamics of a 6-DOF out-parallel manipulator, now with 73 citations, remains a cornerstone reference in the field, offering an elegant formulation that accounts for motor-coupler-screw inertia effects. A cluster of influential 2012 publications further cemented his reputation, collectively addressing dimensional synthesis, dynamic optimization, singularity analysis, and kinematic isotropy of three-translational-DOF parallel robots, demonstrating a comprehensive, multi-criteria approach to performance evaluation. More recently, Zhao has expanded into bioinspired robotics, developing a hyper-redundant elephant's trunk robot capable of navigating unstructured, obstacle-rich environments — a timely contribution to flexible manipulation research. His later work on dynamic feedforward control and computed torque methods reflects a mature integration of rigorous dynamic modeling with practical control strategies, underscoring his sustained commitment to advancing both the theory and application of advanced robotic systems.
Research Focus
Key Achievements
Top Papers
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- 8Inverse Displacement Analysis of a Hyper-redundant Elephant’s Trunk Robot13 citations · 2018
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