Wentie Niu

Tianjin University

Papers

8

Total Citations

152

H-Index

5

About

Wentie Niu is a leading researcher in the design, control, and optimization of advanced robotic systems, with a particular focus on hybrid serial-parallel kinematic machines and industrial robots. His work addresses critical challenges in high-speed, high-accuracy manufacturing applications, especially for aerospace and automotive sectors. Niu’s most significant contributions include developing novel trajectory planning methods to reduce vibration in delta robots and 5-DOF hybrid machine tools, achieving up to 57 citations for his foundational work. He has pioneered hierarchical approaches for optimal design of hybrid manipulators and introduced near-time optimal feedrate planning for NURBS curves, ensuring smooth motion while respecting interpolation error constraints—a key advancement for industrial robot precision. His research also extends to coupling analysis of parallel kinematic machines, providing global indices that simplify dynamic and rigidity analysis. With over 150 total citations across his top papers, Niu’s impact is evident in both theoretical frameworks and practical implementations. His recent work on collision avoidance for autonomous driving robotic vehicles, integrating model predictive control with improved artificial potential fields, demonstrates his versatility in addressing emerging safety challenges. Niu’s rapid performance evaluation methods for lower-mobility hybrid robots offer practical guidance for manipulator design and optimization, solidifying his reputation as a key innovator in modern robotics.

Research Focus

Key Achievements

5
H-Index
8
Papers
152
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 (5 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Tianjin University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago