Papers

6

Total Citations

21

H-Index

3

About

Jinquan Li is a robotics researcher whose work centers on the design, dynamics, and structural optimization of industrial robotic systems, with a particular focus on palletizing robots and variable stiffness actuators. His major contributions include the development of a novel palletizing robot, where he applied the Newton-Euler method and D'Alembert’s principle to derive force equilibrium equations and analyze dynamic behavior—work that has garnered foundational citations in the field. Li has also advanced human-robot interaction safety through the mechanical design of a reconfigurable variable stiffness mechanism based on permanent magnetic springs and a swing guide mechanism, enabling stable contact motion and collision safety. His research extends to improving machining accuracy for robotic arms with hybrid kinematic chains by analyzing deformation characteristics, and he has developed computational tools in MATLAB for dynamic analysis and workspace optimization. With over 20 citations across his most-cited papers, Li’s contributions are particularly notable for bridging theoretical dynamics with practical robotic design, offering valuable insights for students and researchers in industrial robotics and compliant actuation.

Research Focus

Key Achievements

3
H-Index
6
Papers
21
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Analysis and Structural Optimization of a Novel Palletizing Robot
8 citations · 2010
📈 Most Prolific Year: 2012 (3 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: Shenyang Ligong University, Beijing University of Posts and Telecommunications

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago