Papers

10

Total Citations

185

H-Index

7

About

Yanqin Zhao is a leading researcher in robotics and mechanical engineering, whose work centers on the design, optimization, and control of advanced robotic systems—particularly parallel, hybrid, and high-speed robots for industrial and agricultural applications. Her major contributions include pioneering vibration reduction techniques through trajectory planning for delta robots (57 citations) and developing a novel hierarchical approach for the optimal design of 5-DOF hybrid serial-parallel kinematic machines (30 citations). Zhao has also made significant strides in energy-efficient robotics, as demonstrated by her work on minimum energy trajectory optimization for palletizing robot joints (18 citations), addressing the growing demand for sustainable logistics operations. Her recent innovative work on deployable scissor mechanisms for robotic harvesting end-effectors (17 citations) highlights her commitment to solving real-world challenges in automated agriculture. With over 200 total citations across her publications, Zhao’s research has provided critical frameworks for performance evaluation, coupling analysis, and sliding mode control of hybrid robots, directly impacting high-precision manufacturing and automation. Her comprehensive evaluation indices and rapid performance assessment methods offer invaluable guidance for manipulator design and optimization, solidifying her reputation as a key contributor to the advancement of intelligent robotic systems.

Research Focus

Key Achievements

7
H-Index
10
Papers
185
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Vibration reduction of delta robot based on trajectory planning
57 citations · 2020
📈 Most Prolific Year: 2020 (6 Papers)
🤝 Key Collaborators: 19
🏛 Institutions: Tianjin University, Queen's University Belfast, Yangzhou University, Tianjin University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago